Current Order and Inventory Models in Manufacturing Environments: A Review from 2008 to 2018

This paper studied on supply chain in terms of order and inventory problems and factors. The extended review of this paper showed that extra costs are the most important factors in the survival of an organization and have a significant impact on company competitiveness. However, holding inventory, order acceptance, and functional risks are factors that have not been studied simultaneously. The purpose of this paper is to provide a review on critical problems and factors in order and inventory models under supply chain management. This paper selected and reviewed 56 published articles in a decade through 30 famous relevant journals which were chosen from the “Science direct and Scopus” databases. Amongst 56 articles, “International Journal of Production Economics” was ranked as the first by 11 published articles. In this regard, the applications of the Artificial Neural Network method which called “ANN”, ant colony algorithm and queue theory have been proposed. All published articles were categorized based on the author number, The first author name, publication year, problems, factors, type of manufacturing industries, research methods and results and findings. Results of this paper acknowledge that order management and inventory control can help decision makers and researchers in solving some problems in manufacturing industries.


Introduction
the total annual costs. With growing up in the number of replenishment, the cost of the system will enhance. Due to gained costs in order to unnecessary redistribution, a significant leap in costs occurs. Furthermore, by increasing maintenance costs and reducing deficiency cost, the total inventory at the end of the periods is reduced. Haji and et al. studied queueing Inventory System in a Two-level Supply Chain with Onefor-One Ordering Policy. In this study, the integrated services system was used in a two-level supply chain in which it was located. Retailer only was a vendor and looking for a stock-based stock policy. Inventory system total cost by retailer is much lower than without a retailer system [4]. Tat and et al. developed Economic-Order-Quantity (EOQ) model with instantaneous deteriorating items for a vendor-managed inventory (VMI) system. In this survey, they studied the EOQ model for deteriorating items in two cases (with and without shortages) to evaluate how VMI affects supply chain. They considered two-level supply chain (single supplier and a single retailer) with one instantaneous deteriorating item. The results show that VMI works better and provides lower costs in all circumstances of traditional supply chain [10]. Zhang and et al. probed in Multi-objective optimization for sustainable supply chain network design considering multiple distribution channels. The Multi Distribution Centre Supply Chain Network (MDCSCN) model is more innovative and pioneered as it meets the latest requirements and outperforms the conventional Supply Chain Network (SCN). Realization of the paradigm changing of traditional SCN to the new one with multiple distribution channels and the complexity of information analysis, can assist management to schedule with importance of optimizing MDCSCN multiple goals by taking into account efficiency and the capacity of facilities and transportation [22]. Kumar and et al. surveyed in developing of a Novel Lot-sizing Model with Variable Lead Time in Supply Chain Environment. The main point of their results is, as the time of purchasing growth, the amount of economic order will rise too [39]. The study of literature shows that there are several types of inventory control models in multi-product environments. The total cost consists of two components: 1. Cost of preparation or ordering costs: includes the cost of adjusting machinery and facility before production in manufacturing sectors. The cost for products provided through the manufacturer consists of the cost of preparing and receiving orders and the cost of transporting goods. 2. Maintenance cost: includes the cost of maintaining the parts in the warehouse.
The cost of ordering items is also composed of two components: a) the cost of ordering which is independent of the order quantity. b) Variable order costs that depend on the order of the various products.
Costs are generally classified into four groups: 1. Cost of product unit operations: these costs proportional the number of goods produced, like the cost of machining time, material costs and direct wages. 2. Cost of activities related to production categories: such as management and holding inventory costs, set up of devices, and so on.
3. Cost of specific product-related activities: such as design cost, process engineering, etc. 4. The cost of maintenance activities and management of facilities and equipment: such as rent, utilization, reparation and maintenance costs.
This review paper aims to provide review of current order and inventory models due to costs problems. A wide variety of previous studies reviewed the order management or inventory control in supply chain problems such as inventory control problem of logistical systems but there are several studies that survey in service systems for instance bank as case study. The remainder of this paper is organized as follows. Section 1 provides an overview of literature of current surveys in order and inventory. Section 2 several critical factors of the researches were highlighted. Section 3 of this paper attempted to discuss on the obtain findings and results and Section 4 provides some conclude remarks, limitations of this study, and suggestions for future researches.

Literature review
In literature review section, we highlight some important factors that are as follows: • Extra buffer stock required to eliminate stock out  [19].
• Major operation costs share in general operation costs • Number of identified activity segments • Share of supply costs in general operation costs [23].
In addition, some critical problems that we mention that are as follows: Investigating internal interrelationships and provide insights into the operational dynamics of single supply chain enterprises. To better focusing risk monitoring and risk management in the automotive industry supply chains on risks in order to enhance decision making in the upstream supply chain [17]. Taking into consideration the uncertainty of demand, cost of production, allocation of the transportation cost, shortage loss, tax rates and limitation of markdown rates [29]. Cost calculation for more accurate cost information than the traditional volume-based costing (VBC). using ABC approach with two stages to allocate and calculate the manufacturing cost which is based on resources expired of process activities [33]. Sustainable supplier selection and order allocation problem under operational and disruption risk [42], considering different shortage situations [45], minimizing the average total inventory cost [48], risk assessment of existing production units considering availability and human safety criteria [50], deciding the logistics service integrator regarding the location of the customer order decoupling point [52], analyzing the benefits of horizontal collaboration related to perishability, from transportation operations and logistics costs in the Inventory Routing Problem (IRP) with multiple suppliers and customers by developing a decision support model that can address these concerns [55], designing a resilient hub network under operational and disruption risks [56].
Furthermore, all published articles were categorized based on the author number, The first author name, publication year, problems, factors, type of manufacturing industries, research methods and results and findings. Some manufacturing industries that are surveyed in articles as a case study or collocated data from them, include bicycle, nylon plastic and refrigerator manufacturing, façade components, carpet manufacturing facility, automotive supply chain, coal mining enterprises, gas industry, locomotives railways, steel and glass company and energy production units. The methods that are used more than others encompass mathematical model, simulation and heuristic algorithm. Study flowchart for the identification and included of articles that are surveyed is shown in Fig. 1. In addition, more information about articles that are investigated in details is exhibited in Table 1.  They consider the problem of choosing the holding cost in inventory models. In the present work, they present a more general model of the cost of holding inventory based on a microeconomic framework. 14 Theory Numerical model The suggested method works well in the considered numerical examples (maxi-mum and average cost increase is 1.78% resp. 0.08%). There exist situations where the traditional approach, setting unit h as a percentage of the product value, gives rise to a significant cost increase (415%). [2] Charles and Hansen

2008
This study develops a theoretical product cost framework independent of cost assignment concepts.
7 Theory Cooperative game theory Cooperative game theory provides rational, non-arbitrary criteria for assigning joint benefits and defines two possible constructs; the set of imputations and the core. Using these two constructs to define accuracy, along with an operational measure of product diversity developed in the study, formal conditions are identified where activity-based costing (ABC) is theoretically closer to the true product cost than functional-based costing (FBC. Their results, therefore, provide a theoretical foundation for ABC. [3] Askarany and et al. Activity-based costing model To summarize the above statistical tests, the findings of current study support their stated proposition that larger firms are more likely to adopt ABC than smaller firms. However, when the adoption decision was made, there is no significant difference between larger firms and smaller firms in terms of proceed-ing towards a higher level of adoption of ABC (e.g. from activity analysis level to allocation of costs to products level). [4] Haji and et al.

2011
Achieving supplier and retailer inventory optimum policy (retailers search for basic stock inventory policy. On the other hand, supplier has to satisfy retailer orders).

13
Theory Mathematical model In this study, the integrated services system is used in a two-level supply chain in which it is located. Retailer only is a vendor and is looking for a stock-based stock policy. Inventory system total cost by retailer is much lower than without a retailer system.  mation. An activity-based costing tool implemented at all supply chain members, can support related supply chain decisions. Through standardization of cost information activities, processes can be assessed regarding an effective overall design and an efficient performance. Summing up, the model and case revealed that inter-company cost accounting along the supply chain can foster strategic decisions. [7] Hora and Klassen 2013 Firms should improve their own operations by observing problems that occur in others' process-es, significant operational risks appear to be ignored and similar losses recur. They tested the influence of organization-level factors on knowledge acquisition.

12
Managers from two chemical industries Vignette-based field experiment They find that both organization-level factors were positively related to the degree of knowledge acquisition. Moreover, operational similarity moderated the influence of market leadership on knowledge acquisition (However, results found no differ-ence in knowledge acquisition of the observing firm based on market leadership when operational similarity is high. These results support the notion that similarity is a critical key criterion triggering knowledge acquisition, regardless of market leader-ship.) [8] Alinezhad and et al.

2013
In this survey, the researchers are going to intro-duce a new generation of costing entitled: "Fuzzy time driven activity based costing (FADABC)" to estimate the time more accurately and reduce error coefficient as a cost driver by using fuzzy logic.
8 Theory Fuzzy logic Time driven activity based costing system is broadly relying on time estimations and it is principally abstract. If the least error occurs in estimating the key time activities, this system will result in damaging effects which are sometimes broader than the negative effects of not using this system. Thus, we should try to use fuzzy logic in order to minimize errors in time estimations and managers should make decisions with higher assurance levels. [9] Wei and et al.

2013
They study a two-stage game problem on pricing, ordering and allocation in a service supply chain, where one supplier sells a product with a fixed capacity to customers via two retailers under wholesale price contracts.

10
Theory Two-stage game They find that under the leader of the supplier the competition between the two retailers is eliminated and each retailer just orders its optimal quantity. So, the retailers' behavior in the game is not influenced by the supplier's allocation rule. Furthermore, with pricing power, the supplier can get higher profit but the retailers would not necessarily. [10] Tat and et al.

2014
In this research, the problem of a single instanta-neous deteriorating product under VMI policy is studied.

22
Theory EOQ model development They developed EOQ model with instantaneous deteriorating items for a vendor-managed inventory (VMI) system. The results show that VMI works better and provides lower costs in all circumstances of traditional supply chain.
Author No.

The first author name
Publication year

Type of manufacturing industries Research methods
Results and findings [11] Baradaran Kazemzadeh and et al.

2014
They analyze a network design problem for a closed-loop supply chain that integrates the collection of the used products with the distribu-tion of the new products.
14 The carpet manu-facturing facility at Izmir, ,Turkey Mixed integer nonlinear programming & Heuristic algorithm They observe that their heuristics perform pretty well in general. They observe that all their heuristics can find the optimal solution in their trials when there are N = 10 customer loca-tions and the percentage deviation of the profits obtained by the heuristics from the upper bound are less than 5% for N = 200 customer zones. They also analyze the effects of the parameters on the system. Their computational study shows that TSVNS gives better results than SAVNS and GAVNS in terms of the profits obtained. 14 Theory Heuristic algorithm The results show that more visibility is desirable, because it increases effi-ciency in a supply chain and decreases both cost and risk. [13] Xiao and Chen 2014 This probe develops a game theoretic model of a onemanufacturer and one-retailer supply chain facing an outside integrated chain (manufacturer) to study the price and lead-time competition and investigate coordination of the supply chain, where the make-to-order production mode is employed and consumers are sensitive to retail price and lead time.

10
Theory Game theory They find that decentralization of the supply chain increases its lead time while decreases the rival's lead time; and the decentralization increases the retail prices. The existence of the outside competitor raises the lead time. A higher reservation price or brand differentiation increases the retail prices but decreases the lead times. They find that the sequence of decisions affects the validity of the all-unit quantity discount scheme in coordinating the supply chain. [14] Molamohamadi and et al.

2014
This article investigates the effects of the latter policy, two-level trade credit, on a retailer's optimal ordering decisions within the econom-ic order quantity framework and allowable shortages.   This article investigates how organization should design their supply chains (SCs) and use risk mitigation strategies to meet different performance objectives. To do this, they develop two mixed integer nonlinear (MINL).

A large automotive
SC Robust optimization (Two mixed integer nonlinear (MINL)) Considering several risk mitigation strategies opens the hand of the designer to select the least costly combination of these strategies to neutralize the negative effects of the risks. The importance of considering several risk mitigation strategies increases when the costs of imposing these strategies are different in the SC's facilities. They show that this approach can be used to simultaneously model disruptions in the SC's both facilities and connecting links by defining a single scenario set. [17] Guertler and Spinler 2015 Their article investigates internal interrelationships and provides insights into the operational dynamics of single supply chain enterprises. This survey aims to better focus risk monitoring and risk management in the automotive industry supply chains on the right risks in order to enhance decision making in the upstream supply chain.

16
Automobile industry System Dynamics Simulation Their first finding is that supply risk managers need to place greater emphasis on the risks that exist within each single supply chain enterprise. Second, they present a system dynamics model that makes it possible to capture and to further analyze these internal dynamics. Third, they show by means of scenario analysis that a highly interrelated risk is much more likely to tip the system by its occurrence than a weakly interrelated risk. [18] Mortazavi and et al.
2015 the challenging issues in supply chain man-agement is the coordination of ordering pro-cesses, especially in dynamic situations. inventory (SDI) model The deterministic deteriorating inventory (DDI) model was used to describe deterio-rating inventory when deteriorating inventory data were available and the stochastic deteriorating inventory (SDI) model was used when they were not. This work proved the existence of the optimal maximum inventory level and gave the unique-ness condition under the DDI model. Results showed the total cost rate to be sensi-tive to the maximum inventory level. In addition, the optimal preventive replace-ment interval was reduced and the optimal maximum inventory level was increased to balance the influence of deteriorating inventory.
Author No.

The first author name
Publication year Fuzzy logic The main external reason for increasing the level of operational risk in the examined enterprises and in the entire sector in Europe was the lowering demand for coal caused by decarburization and the development of alternative energy sources. This was strengthened by the variability and decrease in coal prices in world markets. Additionally, the examined enterprises are used to government protection and state aid, which reduce vigilance and cause risk ignorance.

2016
They propose a two-stage optimization model to charac-terize a retailer's ordering policy in a supply chain with demand and supply uncertainties sequentially realized, where the advance payment could be conducted before the selling season to stable the supplier's capacity.

15
Theory Two-stage ordering policy The results show that in the retailer's optimal decision, the advance payment is increased along with the supply risk and is significantly influenced by the retailing price and the supply rate; the results also give the structure of the supplier's the optimal pricing strategy for the retailer's advance payment. http://www.i-joe.org Regression (Statistical analysis) They show that companies that improve their social responsibilities fulfillment significantly reduce operational risk; the better CSR fulfill-ment, the lower is operational risk. Further, high risk companies improv-ing their social responsibility performance can significantly decrease their operational risk, while the independent social responsibility report leads to significantly increased operational risk. 9 Gas industry (Theory) (Firefighting system) Typical example of an operational planning decision scenario The discussion starts from description of what good risk information is, followed by a proposal to use Activity consequence risk (ACR), Activity performance risk (APR), and Period risk (PR). The main conclusion is that current practices in the industry lack the accuracy and capability to provide such a risk picture. [28] Barua and et al.

2016
Their study aims to take proper initiatives to minimize/ remove hazards and risks. This study proposes a risk assessment methodology for dynamic systems based on Bayesian network, which represents the dependencies among variables graphically and captures the changes of variables over time by the dynamic Bayesian network. This study proposes to develop dynamic fault tree for a chemical process system/sub-system.

A TANK
HOLD-UP PROBLEM (Chemical process) Bayesian networks Bayesian network can combine the expert judgment and quantitative knowledge to estimate risk.
Also, it demonstrates changes of variables with time through the reasoning process. Application of Bayesian network is very much helpful for the area where the availability of data is limited.
Controller failure in this case study is more critical than other equipment/components failures in the system as its failure probability is much higher than others. [29] Zhang and et al.

2016
Taking into consideration the uncertainty of demand, cost of production, allocation of the transportation cost, shortage loss, tax rates and limitation of markdown rates, are problems that this survey wants to solve them with an optimization model.

25
Two manufacturer case GSCM optimization model The corporations of supply chain should pay great attention to the limitation from the governments on the bounds of markdown rates. The range of the bounds often has a significant impact on the optimal retail prices, transfer prices, order quantities, after-tax profit and allocation of the profit. Demand uncertainty has a significant effect on the optimal retail price than the transfer price. Tax rates, production cost, and losses due to shortages are three Important factors for the optimal decisions of the corporation. In addition, market demand is important too. [30] Wang and et al.

2016
They study a decentralized supply chain in which a manufacturer supplies a newsvendor-type item to a retailer in a stock-dependent demand market, considering temporary and permanent inventory shrinkages.

12
Theory Newsvendor-type item method & Numerical examples The result shows, in the price-only contract, the inventory shrinkage effect urges the retailer to place more quantity to cover the missing products; the large order. The manufacturer is the winner in this invento-ry shrinkage game. A much cheaper negotiated wholesale price is needed to entice the retailer to discover inventory errors and share with the manufacturer. The results show that while inventory to sales ratio affects organization perfor-mance negatively in the initial growth stage and the maturity stage, it exerts a positive and significant coefficient on performance in either the rapid growth stage or the revival stage.

Review-Current Order and Inventory Models in
[32] Cui and et al.

2017
The supply chain network design is a strategic decision problem which is aimed to decide number of different facili-ties required to make in the network. facility location prob-lem in close loop supply chain network is important too.

31
Theory Artificial bee colony genetic algorithm Results indicate that proposed GABC outperforms standard ABC and GA in different scenarios to give smaller value of the total cost of network and gives more robust results to give smaller variations in the total cost of network due to uncertain variations in the demand, as compared to original ABC and GA. [33] Lu and et al.

2017
This article explores cost calculation methodology for more accurate cost information than the traditional volume-based costing (VBC). The survey uses Activity-Based Costing (ABC) approach with two stages to allocate and calculate the manufacturing cost which is based on resources expired of process activities.

Bicycle parts industry
Activity-Based

Costing system & Volume-Based
Costing (VBC) (Com-pare) By comparing the cost information between VBC and ABC approach, the research findings indicate that current VBC approach distorts cost structure because of single cost drive had been chosen, therefore, cross-subsidization among manufacturing cost structure among variant product. Secondly, ABC approach provides more accurate cost information that will help to set the competitive price strategy of the product that is great contribution to increase enterprise's profitability and competitive power. [34] Fattahi and et al.

They address a multi-period supply chain (SC) network design
where demands of customers depend on facilities serving them based on their delivery lead-times They develop a multi-stage stochastic program, and model disruption's effect on facilities' capacity. The SC responsiveness risk is limited.

Iranian glass company
Multi-stage stochastic programming Their computational results highlighted the fact that the customer behavior with respect to the delivery lead-time of products has substantial influence on the design decisions of SC networks.
In this regard, as the customer's sensitivity to the deliv-ery lead-time of products increases, the facilities that supply these customers should be located closer to them and hence, the design costs of SC increases. [35] Pacheco and et al.

2017
The planning of a supply chain (SC) subject to market de-mand uncertainty is challenging in regards to defining update mechanisms that deal with demand variations. Also, proposes a new reorder point update procedure for order-up-to-level (OUTL) policies in continuous review systems.
14 Brazilian company discrete event simulation The proposed approach is based on absorption inventory, a new concept that modifies both the reorder point and lot size according to demand variations. Result shows that the proposed order policy provides better performance, particularly in terms of bullwhip effect reduction and improved service level. [36] Xu and et al.

2017
This survey studies the production and pricing problems in MTO (make-to-order) supply chain containing an upstream manufacturer who produces two products based on MTO production and a downstream retailer. 10 Theory Numerical model They investigate the production and pricing problems in MTO supply chain consisting of two risk-neutral firms, an upstream manufacturer who produces two products based on MTO production and a downstream retailer. They assume that the emission trading prices are exogenous. It is possible that the emission trading prices varies with the cap allocated by the government agencies because the amount of the cap will affect the emission permits' supply and demand in the outside market. http://www.i-joe.org Author No.

The first author name
Publication year   Automotive company (Iranian and French automobile makers) Two-stage mixed possibilitystochastic programming The sustainability and resilience aspects of candidate suppliers were investigated. In this article to shed light on the fact that an aggregated sustainability-resilience objective function would produce better overall results when these two concepts are taken into account. It indicates that there is a possibility to decrease the total supply cost of parts in this firm up to 14% by maintaining the level of sustainability resilience score of suppliers at the current state or even improve the total score up to 30% in comparison with the current state.

Number of factors
[43] Wanke and et al.

2017
This article proposes a decision-support system that makes use of fuzzy logic to consider inventory carrying, shortage and ordering costs as well as transportation costs.

18
Theory Fuzzy systems In this context, the Revised Decision-making System for Stock Allocation model showed good results in relation to the total costs incurred in the allocation of items in simulated distribution systems. In some of the cases that were presented, the total costs involved in the activity were about 8% lower than those of their comparison models.  [45] Li and Wang 2017 They investigate a replenishment and production control problems for a multiple machines and multiple product-types production/inventory system with inventory inaccu-racy. The objective is to minimize the average production cost, including the inventory holding cost and the backlog penalty. In addition, lead time unreliability of machines are considered.

27
Theory Dynamic programming The results of the experiments show that the proposed conditional expectation-based policy (i.e., the Robust Policy) usually outperforms the simplified replenishment and production control policy (i.e., the Robust Policy). The results of experiments show that the proposed conditional expectation-based policy outperforms the simplified replenishment and production control policy under the variation of system parame-ters. [46] Moser and et al.

2017
In this context, inventory management is increasingly viewed as an essential lever for creating a sustainable competitive advantage. This research explores how seven fundamental characteristics of process indus-tries drive inventory performance. (SUR) equations model Their results show that capital intensity, capital costs, transportation costs, delivery time, price volatility, demand uncertainty and gross margin directly affect a compa-ny's degree of freedom in terms of inventory management and illustrate that invento-ry management in process industries follows different dynamics. This study en-hanced the understanding of inventory drivers and gives practitioners a tool to guide future improvement efforts. [47] Marand and et al.

2017
This study addresses joint inventory control and pricing decisions for a service-inventory system. In such a system both an on-hand inventory item and a positive service time are required to fulfill customer demands. They compare the solutions of the models both with and without fill-rate and service-reliability constraints and report the main interest-ing managerial insights.

9
Theory Mathematical formulation They observe that at a high fill rate, the optimal order quantity can be increasing in the reorder point. Moreover, for an active fill-rate constraint, reducing the mean replenishment lead time results in more customers lost on average. Although the model studied in this research is a simplified version of real world cases, it gives useful managerial insights about more complex systems and can be used as a starting point for more elaborated settings. [48] Daia and et al.

2017
This research proposes multi-echelon inventory models with three types of demand. The stakeholders consist of a retailer, a plant and a number of middlemen also, develops and solves three multiechelon inventory models with partial backlogging and three types of demand, which are ramp-type time dependent demand, reverse type time dependent demand and trapezoidal-type time dependent demand. The objective is to minimize the average total inventory cost for three models.

Theory
Multi-echelon inventory with ramp-type demand model This study extends one-echelon inventory model to multi-echelon inventory model and studies a new type of demand, say reverse ramp-type demand. By studying the results of two sensitivity analyses, the following insights can be derived. They find that most results of these two sensitivity analyses are the same, which indicates that the relationship between parameters and optimal solutions is reliable.
Author No.

The first author name
Publication year

Type of manufacturing industries Research methods
Results and findings [49] Taleizadeh and et al.

2018
In this survey, they develop four new sustainable economic production quantity models that consider different shortage situations. They solve four inde-pendent profit maximization problems for four different situations in which shortages are not allowed, and when shortages are allowed, the lost sale, full backordering.

37
Theory Sustainable Economic Production Quantity Models These results show that the sustainable economic production quantity with partial backorder-ing model is a general and more realistic model that can be used in many real cases with a reasonable profit amount, compared with the three other proposed models. These new models may be useful for companies seeking environmentally conscious production systems because of their applicable and straightforward computational procedures. The EPQ (SEPQ) models cover all of main shortage situations with regard to both economic and environmental considerations. [50] Sykora and et al.

2018
The contribution provides an integrated frame-work for probabilistic reliability and risk as-sessment of existing energy production units considering availability and human safety criteria.
7 Energy production units Bayesian networks Bayesian networks represent an effective tool for the risk and availability analysis of devices of power station production units. The uncertainty analysis reveals that availability is associated with considerable scatter due to the uncertainty in input failure rates. For important performance indicators, the expert estimates of the failure rates could be enhanced by a more comprehensive search in technical reports. [51] Rafie-Majd and et al. [53] Kara and Dogan 2018 In this study, they deal with the inventory management system of perishable products under the random demand and deterministic lead time in order to minimize the total cost of a retailer.

Reinforcement
Learning & Simulation-based optimization The experiments demonstrated that the ordering policy which takes into account the age information appears to be an acceptable policy and learning with RL provides better results when demand has high variance and products has short lifetimes. http://www.i-joe.org ing suitable hybrid LCI methods in the past two decades, but their use is still limited in comparison to conventional process LCI. There are a number of reasons for this slow uptake. The first is a lack of standardization in the methods used and second reason is a lack of tools and software allowing the general use of hybrid methods by LCA practitioners. Complex methods such as the PXC method would greatly benefit (from a model) capable of more efficiently integrating process. [55] Soysal and et al.

Discussion
Order management and inventory control also their costs are problems that often puzzles managers and researchers. An enormous range of factors include re-ordering point, operational risk, lead time, demand and pricing risk, product innovation, reduced collection demands and documentary credits alongside order management and inventory control. Pricing risk, product innovation, reduced collection demands and documentary credits are critical factors that have not studied yet. In this paper, as a result of distribution of researches based on the countries which the highest contribution was from China (see Table 3). Europe continent has had the largest participation in this field (see Table 5 and Fig. 2). Regarding to journals distribution, International Journal of Production Economics was ranked as the first journal as exposed in Table  2. Some manufacturing industries that are surveyed in articles as a case study or collocated data from them, comprise bicycle, nylon plastic and refrigerator manufacturing, façade components, the carpet manufacturing facility, automotive supply chain, coal mining enterprises, gas industry, steel and glass company, locomotives railways and energy production units but other manufacturing industries which have not checked out yet such as smartphone plant, clothing producers, paint factory, furniture manufacturing and so on. Likewise, the methods that are used more than others consist mathematical model, simulation and heuristic algorithm that the applications of artificial neural network, ant colony algorithm and queue theory, still have not probed ( Table 4). Distribution of researches based on year of publication, maximum number of articles which were published is in 2017 by 17 articles as well as, minimum number of articles which were published is in 2010 by an article (Fig. 3).

Conclusion & Recommendation
This review paper aimed to review previous studies that applied order management and inventory control during 2008 until 2018 in 32 international scholarly journals which are indexed in Science direct and Scopus databases. In addition, this review paper classifies published articles into 8 main areas: the author number, The first author name, publication year, problems, factors, type of manufacturing industries, research methods and results and findings. As a result of probing 56 articles, 6 articles have implemented ABC approaches, nevertheless, the need for further research is felt in setting of inventory and order of the means of production that not considered synchronously. Moreover, a number of factors for instance product innovation, reduced collection demands and documentary credits are important too that have not surveyed yet. Based on review findings, research methods for instance the applications of artificial neural networks, ant colony algorithm and queue theory have not studied also, we recommended them for future researches. This review paper classified the selected articles into 8 fields of order management and inventory control, it is suggested that future researches can review and classify articles in different areas and sub-areas. This review paper checks out articles that are published in Science direct and Scopus databases, thus, future review researches can peruse other databases. In addition; our review paper only focused on English scholarly journals rather than other languages, therefore; future review surveys can consider and focus on other languages. Because of the importance and necessity of researching in order and inventory, it is recommended that in the fields of operational risk, the collection of demands and documentary credits along with ABC approach come to future studies. It is also suggested that a combination model of these four items will be presented. These fields mentioned above are critical to answer the needs and orders of all customers as well as the survival of an organization, which if ignored, the organization will face with a lack of funds and, in consequence, a bankruptcy and elimination of the competition cycle completely will come about. Moreover, it is recommended that further researches will be done in the fields mentioned with different state of multi-product, single-product or perishable products and green supply chain, also their costs or the closed-loop supply chain with two forward and backward flows to help managers in costs managing of their supply and demand and organization's survival.