Comparing improvement strategies for inventory inaccuracy in a two-echelon supply chain

Xu, Jinpeng; Jiang, Wei; Feng, Gengzhong; Tian, Jing

doi:10.1016/j.ejor.2012.03.008

Cited by 54 publications

(21 citation statements)

References 21 publications

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“…The leader of the decision-making determines the optimal strategy so as to maximize the leader's (expected) profit. The follower(s) of the decision-making determine(s) the optimal strategy so as to maximize the follower(s)'s (expected) profit under the optimal strategy determined by the leader of the decision-making (Aust and Buscher, 2012;Berr, 2011;Cachon and Netessine, 2004;Cai et al, 2009;Esmaeili and Zeephongsekul, 2010;Hu et al, 2011;Lee et al, 2011;Leng and Parlar, 2009;Liu et al, 2012;Mukhopadhyay et al, 2011;Xu et al, 2012;Yan and Sun, 2012).…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Evolutionary Stability for Behavior Strategies in Reverse Supply Chain

Tomita¹,

Kusukawa²

2015

Industrial Engineering and Management Systems

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In recent years, for the purpose of solving the problem regarding environment protection and resource saving, certain measures and policies have been promoted to establish a reverse supply chains (RSCs) with material flows from collection of used products to reuse the recycled parts in production of products. It is necessary to analyze behaviors of RSC members to determine the optimal operation. This paper discusses a RSC with a retailer and a manufacturer and verifies the behavior strategies of RSC members which may change over time in response to changes parameters related to the recycling promotion activity in RSC. A retailer takes two behaviors: cooperation/non-cooperation in recycling promotion activity. A manufacturer takes two behaviors: monitoring/non-monitoring of behaviors of the retailer. Evolutionary game theory combining the evolutionary theory of Darwin with game theory is adopted to clarify analytically evolutionary outcomes driven by a change in each behavior of RSC members over time. The evolutionary stable strategies (ESSs) for RSC members' behaviors are derived by using the replicator dynamics. The analysis numerically demonstrates how parameters of the recycling promotion activity: (i) sale promotion cost, (ii) monitoring cost, (iii) compensation and (iv) penalty cost affect the judgment of ESSs of behaviors of RSC members.

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Section: Introductionmentioning

confidence: 99%

Analyzing the Evolutionary Stability for Behavior Strategies in Reverse Supply Chain

Tomita¹,

Kusukawa²

2015

Industrial Engineering and Management Systems

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“…This paper aims to explore the relationship between the economics of RFID-enabled system and the inventory inaccuracy, rather than obtain the exact profit. Therefore, we assume no fixed cost in the model, which was also assumed in many works related to RFID technology, such as Rekik et al [18], Heese [19], Xu et al [11], and Wang et al [26]. Nonetheless, the net profit stemming from the system can be generated by subtracting the fixed cost calculated by a net present value type analysis from the profit obtained from the current model.…”

Section: Inventory Model With the Smart Shelf Systemmentioning

confidence: 99%

Mean-Variance Analysis of Retailers Deploying RFID-Enabled Smart Shelves

Zhu

Wang

2018

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Radio frequency identification (RFID)-enabled smart shelves have recently attracted enormous attention from both industry and academia. Retailers have an explosion of interest in deploying smart shelves for the automatic ordering and the reduction of inventory inaccuracy. This study explores the retailers' optimal policy for investing in a smart shelf inventory control system. Since the decision maker's risk attitude plays an important role in its investment in technology, we therefore specifically consider the retailers' risk attitude. The risk attitude is measured by the mean-variance analysis. We derive analytical expressions for the benefit of the smart shelf and specify the conditions under which retailers should invest in it. We also show the explicit relationship between the retailer's risk attitude and his optimal policy. Finally, we conduct a numerical analysis to provide managerial insights for retailers to invest in smart shelves.

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“…A recent state of the art on intelligent product paradigm as well as on its various applications on the supply chain is proposed in [1]. Among the most notable work, we can mention: the steering of the workshop by the product [2], the improvement of the management of warehouses on the basis of the use of RFID technology [3], etc. Concerning the transport, few works exist on the active or passive participation of the product in the decisions relative to its transport.…”

Section: Related Workmentioning

confidence: 99%

Opportunistic and Dynamic Reconfiguration of Vehicle Routing Problem Controlled by the Intelligent Product

Takoudjou¹,

Deschamps²,

Dupas³

2013

IFIP Advances in Information and Communication Technology

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Abstract. The recent development of information technologies and communications as well as the miniaturization always more pushed of mecatronic components has allowed the emergence of intelligent product paradigm. An intelligent product is an instrumented product which is able to store data, to perceive its environment and to participate in decisions about its own future. The intelligent product paradigm can be used as performance lever in several sectors of the supply chain: the production and manufacturing system, warehousing, reverse logistics, etc. However, few studies exist for the application of the intelligent product paradigm to transportation problem. In this paper, we propose a methodology based on the intelligent product paradigm as well as the transshipment with the aim to show how we can improve, and optimize the transport of products in the supply chain in static or dynamic context.

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Comparing improvement strategies for inventory inaccuracy in a two-echelon supply chain

Cited by 54 publications

References 21 publications

Analyzing the Evolutionary Stability for Behavior Strategies in Reverse Supply Chain

Analyzing the Evolutionary Stability for Behavior Strategies in Reverse Supply Chain

Mean-Variance Analysis of Retailers Deploying RFID-Enabled Smart Shelves

Opportunistic and Dynamic Reconfiguration of Vehicle Routing Problem Controlled by the Intelligent Product

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