Optimal control of a production-inventory system with product returns and two disposal options

Gayon, Jean-Philippe; Vercraene, Samuel; Flapper, S.D.P.

doi:10.1016/j.ejor.2017.03.018

Cited by 29 publications

(11 citation statements)

References 27 publications

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“…Sub-cluster 3 represents research problems regarding remanufactured products, related to the production order quantity and timing under the uncertainty of market demand and return rate. Numerous studies have focused on the optimal conditions necessary to manage the market demand uncertainty in the secondary market, focusing on network configurations (Francas and Minner, 2009) and production-inventory systems (Gayon et al, 2017).…”

Section: Research Cluster 2: Materials and Remanufacturing Engineeringmentioning

confidence: 99%

A Scientometric Analysis of Remanufacturing by Mapping Scientific, Organizational, and National Concentration Zones

Ozcan

Çorum

2021

IEEE Trans. Eng. Manage.

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The considerations of global sustainability have dramatically increased the importance of the remanufacturing process. Many scholars have started focusing on this vital area from both a management and an engineering point of view. Previous studies have aimed to categorize this area using traditional review approaches, using a smaller body of literature and mostly focusing on the managerial aspects of remanufacturing. Our study is the only study for which techmining and scientometric methods are used to examine remanufacturing research, for the purpose of identifying top actors and key trends with regards to business and technological approaches. We combine both management and engineering related studies in this scientometric study. The results shed light on the principal actors, nations, organizations and scientific domains in this field. Remanufacturing research is categorized using the co-occurrence based clustering method. This study identifies four broad research clusters: (1) Production planning and control of remanufacturing, (2) Material and remanufacturing engineering, (3) Supply chain management of remanufacturing process and, (4) Remanufacturing applications and new trends. This study offers benefits to numerous parties: policymakers in the remanufacturing field, academics who wish to see the research domains and those practitioners interested in the key management, processes, and technologies of remanufacturing activities.

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Section: Research Cluster 2: Materials and Remanufacturing Engineeringmentioning

confidence: 99%

A Scientometric Analysis of Remanufacturing by Mapping Scientific, Organizational, and National Concentration Zones

Ozcan

Çorum

2021

IEEE Trans. Eng. Manage.

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“…From the expressions ( 13) and ( 14), we observe that initially both the optimal promotional effort rate are at maximum promotion effort rate level and as untapped market potential level decreases, which in turn reduces the potential adopters, the decision maker should lower the promotional effort level at the end of the planning period. From equation (11), there are two conditions either…”

Section: Single Source Inventory and Multi-segmented Demand Optimal Control Problemmentioning

confidence: 99%

“…A policy for the handling of these returned products is discussed. The case of the products being returned is also studied by Gayon et al [11]. The behaviour of return is stochastic in the production-inventory system under consideration.…”

Section: Introductionmentioning

confidence: 99%

Optimal control policy to production and inventory system with promotion effort dependent demand in segmented market

Mehta

Chaudhary

2021

YUGOSLAV J OPERATION

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Increased competition in market leads to the interaction between marketing and production of a firm in segmented market. This paper considers the problem of finding an optimal promotion and production strategy, where the consumer demand rate depends on differentiated and mass promotion efforts. Differentiated promotions can reach each segment independently and mass promotion reaches it with a fixed segment-spectrum. Under reasonable conditions, two optimal control problems are formulated. The first one considers a single source inventory and multi-segmented demand problem. In the second, a multi-segmented inventory and demand problem is considered, where it is assumed that the firm chooses an inventory directed to each segment. The solution to both problems is obtained by using Pontryagin's maximum principle. Numerical examples are provided to illustrate the applicability of proposed models. The discretized version of the problem is formulated and solved on some numeric data.

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“…Disposal of products is not allowed and all used products that are returned have to be accepted. Gayon et al [21] study a production-inventory system facing stochastic product returns that can either be disposed upon arrival or placed in a serviceable inventory. They use an M/M/1 make-to-stock queue to analyze the optimal control policy.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Production Control of Remanufacturing Systems Based on a Queueing Model With Returns

Chen

2021

IEEE Access

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This paper analyzes an optimal dynamic production control problem of a remanufacturing system in stochastic environment. The system consists of one inventory for serviceable items and one virtual inventory for the items used by customers which will be either remanufactured to be serviceable items or discarded. Demands will be lost if there is no serviceable items available. At any decision epoch, the decision maker has to decide whether to produce items or not by raw materials, so as to minimize the long run average cost. The optimization problem is constructed as a Markov decision process (MDP). We show that the optimal policy has a multi-threshold structure (switching curve) and it is monotonic in system parameters. Furthermore, based on the structure of the optimal policy, we construct a performance evaluation model for computing efficiently the optimal thresholds. The expression of the average cost is given by a quasi-birthdeath (QBD) process. Finally, we provide some numerical results to show the effectiveness of our approach and the impact of different parameters on the optimal policy and average cost.

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Optimal control of a production-inventory system with product returns and two disposal options

Cited by 29 publications

References 27 publications

A Scientometric Analysis of Remanufacturing by Mapping Scientific, Organizational, and National Concentration Zones

A Scientometric Analysis of Remanufacturing by Mapping Scientific, Organizational, and National Concentration Zones

Optimal control policy to production and inventory system with promotion effort dependent demand in segmented market

Optimal Production Control of Remanufacturing Systems Based on a Queueing Model With Returns

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