Scheduling of an unreliable manufacturing system with nonresumable setups

Bai, Sherman X.; Elhafsi, Mohsen

doi:10.1016/s0360-8352(97)00020-x

Cited by 24 publications

(27 citation statements)

References 15 publications

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“…This article represents a straight continuation of the work of Bai and Elhafsi [17], Hajji et al [19] and Gharbi et al [18]. The latter showed that MHCP is better than HCP in terms of cost.…”

Section: Introductionsupporting

confidence: 59%

“…It is characterized by six control parameters , and , ∈ 1,2 . We conclude this section by presenting the assumptions made in [18] and in [17] and which will also be adopted in this work in order to preserve the main characteristics of the manufacturing system:  The detection of the machine failure is instantaneous and the intervention repairs are started immediately;…”

Section: Improved Modified Hedging Corridor Policy ( )mentioning

confidence: 99%

“…The first model reproduces the classical production and setup control policy, as proposed in the literature by Elhafsi and Bai [17]. It is characterized by a single threshold (Z , i ∈ 1,2 )…”

Section: Simulation Modelsmentioning

confidence: 99%

“…It must also be efficient in terms of cost, customer service and other criteria that are considered important by decision makers. The first control policy adopted is proposed by Bai and Elhafsi [17]. It's called the Hedging Corridor Policy (HCP).…”

Section: Introductionmentioning

confidence: 99%

“…It's called the Hedging Corridor Policy (HCP). The second one is the solution proposed by Gharbi et al [18] who extended the results of Bai and Elhafsi [17] by proposing a near-optimal control policy called the Modified Hedging Corridor Policy (MHCP).…”

Section: Introductionmentioning

confidence: 99%

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Joint production and setup control policies: an extensive study addressing implementation issues via quantitative and qualitative criteria

Assid

Gharbi

Hajji

2014

Int J Adv Manuf Technol

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This paper addresses the production and setup control problem in unreliable multi-products manufacturing system. Several decision criteria are considered in order to conduct an exhaustive comparative study of the two most complete control policies in the literature. The objective is to propose a production and setup control policy for the system under review.The first part of this work consists in analyzing the effect of the system parameters variation on the difference between the total costs of the two policies studied. The best control policy in term of cost will then be determined. In the second part, two keys performance indicator (KPI): the cost and the customer satisfaction rate are simultaneously considered. The goal is to optimize the parameters of the policies studied, which minimize the total cost incurred while respecting the customer satisfaction constraint. A discussion on the best control policy is conducted based on the cost and the customer satisfaction. An experimental resolution approach is used. It integrates combined discrete-continuous simulation models with statistical techniques of optimization such as design of experiments, analysis of variance and response surface methodology. Finally, a discussion is conducted on the effects of other quantitative and qualitative criteria in order to determine the best control policy and to reach the best concerns of the company's decision makers. These decision criteria are generally related to the storage space required constraint, the setups complexity, the implementation issue, the complexity of the optimal control problem.

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Section: Introductionsupporting

confidence: 59%

Section: Improved Modified Hedging Corridor Policy ( )mentioning

confidence: 99%

Section: Simulation Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Joint production and setup control policies: an extensive study addressing implementation issues via quantitative and qualitative criteria

Assid

Gharbi

Hajji

2014

Int J Adv Manuf Technol

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Assessing the Effect of a Novel Production Control Policy on a Two-Product, Failure-Prone Manufacturing/Distribution Scenario

Corsini

Fichera

Costa

2021

Lecture Notes in Mechanical Engineering

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This research deals with a production control policy for an unreliable manufacturing system handling two different types of product. Since the production line cannot produce both product families at the same time, setup operations are required to change the production mode. The decision on product changeover is guided by the production control policy, coping with capacity and inventory shortages due to long setup times and failure events. Usually, the literature adopts the Hedging Corridor Policy, which is optimal in a one-machine two-product reliable manufacturing system for minimizing the total backlog and inventory costs. However, the complexity of the problem increases whenever companies have to satisfy orders with high variability coming from a distribution chain. To address this problem, an analytical model based on discrete time difference equations and an extended experimental analysis have been accomplished to demonstrate the effectiveness of a new production control strategy, named Adaptive Hedging Corridor Policy.

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Optimal production control of a dynamic two-product manufacturing system with setup costs and setup times

Elhafsi

Bai

1996

J Glob Optim

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This paper deals with the optimal control of a one-machine two-product manufacturing system with setup changes, operating in a continuous time dynamic environment. The system is deterministic. When production is switched from one product to the other, a known constant setup time and a setup cost are incurred. Each product has specified constant processing time and constant demand rate, as well as an infinite supply of raw material. The problem is formulated as a feedback control problem. The objective is to minimize the total backlog, inventory and setup costs incurred over a finite horizon. The optimal solution provides the optimal production rate and setup switching epochs as a function of the state of the system (backlog and inventory levels). For the steady state, the optimal cyclic schedule is determined. To solve the transient case, the system's state space is partitioned into mutually exclusive regions such that with each region, the optimal control policy is determined analytically.

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Scheduling of an unreliable manufacturing system with nonresumable setups

Cited by 24 publications

References 15 publications

Joint production and setup control policies: an extensive study addressing implementation issues via quantitative and qualitative criteria

Joint production and setup control policies: an extensive study addressing implementation issues via quantitative and qualitative criteria

Assessing the Effect of a Novel Production Control Policy on a Two-Product, Failure-Prone Manufacturing/Distribution Scenario

Optimal production control of a dynamic two-product manufacturing system with setup costs and setup times

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