Stochastic optimal control of random quality deteriorating hybrid manufacturing/remanufacturing systems

Ouaret, Samir; Kenné, Jean‐Pierre; Gharbi, Ali

doi:10.1016/j.jmsy.2018.10.002

Cited by 27 publications

(4 citation statements)

References 27 publications

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“…To the best of our knowledge, many studies have focused on issues related to production decisions in a hybrid remanufacturing/manufacturing system. Assuming the remanufactured product is equivalent to the original manufactured product and thus sold for the same price to the same market, most researchers studied production decisions of the manufacturing/remanufacturing hybrid system [14][15][16] and operation decisions of the closed-loop supply chain [17][18][19].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The remanufacturable returns are shipped to the remanufacturing center, and the non-remanufacturable returns are disposed and would not be processed in the following operation activities. That is, only a certain percentage of returns are suitable for remanufacturing [15,16,31]. Moreover, after remanufacturing activities, the remanufactured products are used to satisfy the customers' demand of the secondary market.…”

Section: Problem Description and Assumptionmentioning

confidence: 99%

“…Therefore, the inventory of the new products I P is equal to the sum of inventory quantity in the previous period and production quantity IQ, minus the sum of sale quantity SQ and substitution quantity RQ in the current period as shown in Equation 14. The inventory quantity of the remanufactured products I P is equal to the inventory quantity in the previous period plus the production quantity IQ, minus the sale quantity SQ in the current period as shown in Equation (15). Without loss of generality, the inventory of each kind of product is restricted to the non-negative domain in Equation (16).…”

Section: B Logistical Constraintsmentioning

confidence: 99%

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Production Decisions of Manufacturing and Remanufacturing Hybrid System Considering Downward Substitution: A Comprehensive Model Integrating Financial Operations

Wang

Fei

2020

IEEE Access

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Traditional approaches for production decisions of the manufacturing/remanufacturing hybrid system usually focus on physical operations and ignore the corresponding financial aspects. This paper proposes a mixed integer stochastic programming model integrating physical and financial operations based on scenario analysis, which considers the downward substitution between new and remanufactured products and selects financial performance indicator, i.e. economic value added, as the optimal objective function. The prime superiorities of the integrated approach are emphasized through a numerical example, and sensitivity analyses on some critical parameters are conducted. The findings indicate that the integrated approach can not only ensure the stability of hybrid production system, but also significantly improve financial operation efficient and reduce total financial operation cost, and thus eventually brings the manufacturer higher objective value. Furthermore, the advantage of integrated approach in objective optimization is more prominent when manufacturers intend to provide higher service level to customers. Finally, the results proposed in this paper provide applicable suggestions to manufacturers and financial institutions. INDEX TERMS Production decisions, manufacturing /remanufacturing hybrid system, downward substitution, financial operations, economic value added YONGJIAN WANG was born in Henan, China, in 1989. He received the B.S. degree in financial management from Henan Polytechnic University in 2011, the M.S. degree in business management from Nanjing University of Finance & Economics in 2013, and the PhD degree in management science and engineering from Southeast University in 2017. Since 2017, he has been a lecturer in the Business School at Jiangsu Normal University. His research interests are in production and operations management, supply chain management, financial management, and systems simulation modeling and optimization.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Problem Description and Assumptionmentioning

confidence: 99%

Section: B Logistical Constraintsmentioning

confidence: 99%

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Production Decisions of Manufacturing and Remanufacturing Hybrid System Considering Downward Substitution: A Comprehensive Model Integrating Financial Operations

Wang

Fei

2020

IEEE Access

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“…For example, [1] supplied a framework to make a robust scheduling problem for an institution. Other examples were presented in the facility location problem by [2], in the discrete time/cost trade-off problem by [3], and in random quality deteriorating hybrid manufacturing by [4].…”

Section: Introductionmentioning

confidence: 99%

A Robust Single-Machine Scheduling Problem with Two Job Parameter Scenarios

et al. 2022

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In many real-world environments, machine breakdowns or worker performance instabilities cause uncertainty in job processing times, while working environment changes or transportation delays will postpone finished production for customers. The factors that impact the task processing times and/or deadlines vary. In view of the uncertainty, job processing times and/or job due dates cannot be fixed numbers. Inspired by this fact, we introduce a scenario-dependent processing time and due date concept into a single-machine environment. The measurement minimizes the total job tardiness in the worst case. The same problem without the presence of processing time uncertainty has been an NP-hard problem. First, to solve this difficult model, an exact method, including a lower bound and some dominance properties, is proposed. Next, three scenario-dependent heuristic algorithms are proposed. Additionally, a population-based iterated greedy algorithm is proposed in the hope of increasing the diversity of the solutions. The results of all related algorithms are determined and compared using the appropriate statistical tools.

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Production, maintenance and quality inspection planning of a hybrid manufacturing/remanufacturing system under production rate-dependent deterioration

Pongha

Kibouka

Kenné

et al. 2022

Int J Adv Manuf Technol

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Stochastic optimal control of random quality deteriorating hybrid manufacturing/remanufacturing systems

Cited by 27 publications

References 27 publications

Production Decisions of Manufacturing and Remanufacturing Hybrid System Considering Downward Substitution: A Comprehensive Model Integrating Financial Operations

Production Decisions of Manufacturing and Remanufacturing Hybrid System Considering Downward Substitution: A Comprehensive Model Integrating Financial Operations

A Robust Single-Machine Scheduling Problem with Two Job Parameter Scenarios

Production, maintenance and quality inspection planning of a hybrid manufacturing/remanufacturing system under production rate-dependent deterioration

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