Algorithms for sequencing mixed models on an assembly line in a JIT production system

Zhao, Xuebing; Ohno, Katsuhisa

doi:10.1016/s0360-8352(96)00193-3

Cited by 74 publications

(27 citation statements)

References 17 publications

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“…Okamura and Yamashina [12] o ered a heuristic approach for minimizing line stoppages problem. Xiaobo and Ohno [4] minimized the total line stoppages time for a mixed-model assembly line in a JIT production system. They assumed that if a worker could not nish his/her work within the work zone, he/she should stop the line at the downstream boundary of his/her work zone until the remained work was nished.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Constraint (4) shows that if stoppage does not occur, position of the product will be in the starting point of the next station. Also, if stoppage occurs, position of the product will be higher than the length of the station.…”

Section: Scenario 1: Applying Equal Launching Intervalsmentioning

confidence: 99%

“…To minimize the conveyor stoppage, as required by the times of machines and number of products that must be produced, see Xiabo and Ohno [4,5].…”

Section: Introductionmentioning

confidence: 99%

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Sequencing of mixed models on U-shaped assembly lines by considering effective help policies in make-to-order environment

2017

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Abstract. Mixed-Model Assembly Line (MMAL) is a type of production line where a variety of products' models similar to products' characteristics are assembled in the same line. Many manufacturers tend to use mixed-model assembly line in their production lines, since this policy makes it possible to assemble various products in the Make-To-Order (MTO) environment. In this research, the sequence of U-type mixed-model assembly line is achieved through considering downstream help and storage of kits as e ective help policies for reducing total line stoppages and tardiness in delivery time of products to customers. Since this problem is NP-hard, hybrid GA-Beam search algorithm is developed to solve the problem. Numerical experiments are used to evaluate the performance and e ectiveness of the proposed algorithm. To the best of our knowledge, this is the rst study that considers getting help from downstream worker or using storehouse of kits, which has ready-toassemble parts in the conditions that workers cannot complete the remained task in the work horizon.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Scenario 1: Applying Equal Launching Intervalsmentioning

confidence: 99%

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Sequencing of mixed models on U-shaped assembly lines by considering effective help policies in make-to-order environment

2017

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“…This model can be used only for small size problems due to the limitations of operations research software with respect to handling the number of variables and constraints, which are present in the integer programming model. Xiaobo and Ohno (1997) have considered similar work on mixed model assembly line sequencing problem with conveyor stoppages. They proposed branch and bound algorithm, and simulated annealing algorithm for finding the optimal solution and suboptimal solution of the mixedmodel sequencing problem, respectively to minimize the total conveyor stoppage time.…”

Section: Empirical Theorymentioning

confidence: 99%

A state of art review on optimization techniques in just in time

Sultana¹,

Ahmed²

2014

10.5267/j.uscm

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With the development of faster means of communication, better quality computers and rapid transportation systems, manufacturing is no longer restricted at local level, but has become global in character. As a manufacturing company has to become competitive for its survival, it has to supply products of consistent high quality at reliable and reduced delivery time. Market also demands more product variants that means reduced lot size and high flexibility in operations. Manpower cost has also risen. All these factors tend to increase the product cost. However, the industry has to maintain the cost at a reasonable level. Confronting these challenges, companies worldwide are forced to find ways to reduce costs, improve quality, and meet the everchanging needs of their customers. One successful solution has been the adoption of Justintime (JIT) manufacturing strategy in which many functional areas of a company such as manufacturing, engineering, marketing, purchasing etc. are involved. In this paper, literature review on research works based on JIT was carried out and presented. The introductory section deals with the philosophy of JIT, and the concept involved in Kanban optimization and later this paper reviews literature on optimization Technique in JIT implementation.

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“…determining the order in which products have to be introduced into the assembly line) increases the performance of such a line. Sequencing is usually carried out with the two primary goals such as levelling the workload (total operation time) at each workstation on the assembly line to reduce line inefficiencies such as idleness, utility work, work deficiency and work congestion (Thomopoulos, 1967;Macaskill, 1973, Bolat andYano, 1992;Xiaobo and Ohno, 1997;Hyun et al, 1998;Sarker and Pan, 2001;Erel et. al., 2007), keeping a uniform parts usage (Xiaobo, et al, 1999;Tamura, et al, 1999;Jin and Wu, 2002;Kurashige, et al, 2002;Ventura and Radhakrishnan, 2002).…”

Section: Introductionmentioning

confidence: 99%

Model Sequencing and Worker Transfer System for Mixed Model Team Oriented Assembly Lines

Çevikcan¹,

Durmuşoğlu²

2011

Assembly Line - Theory and Practice

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Algorithms for sequencing mixed models on an assembly line in a JIT production system

Cited by 74 publications

References 17 publications

Sequencing of mixed models on U-shaped assembly lines by considering effective help policies in make-to-order environment

Sequencing of mixed models on U-shaped assembly lines by considering effective help policies in make-to-order environment

A state of art review on optimization techniques in just in time

Model Sequencing and Worker Transfer System for Mixed Model Team Oriented Assembly Lines

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