Integrating facility layout with process selection and capacity planning

Askin, Ronald G.; Mitwasi, Mousa George

doi:10.1016/0377-2217(92)90040-g

Cited by 28 publications

(12 citation statements)

References 16 publications

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“…The rate of empty trips between departments, 2963 Unit load and material-handling considerations in facility layout design however, can be estimated as a function of the arrival and departure rates to and from departments and the arrival rate to the material-handling system. This approximation technique, referred to as factoring, is widely used in AGV systems' planning (Bakkalbasi and McGinnis 1988). The rate of empty trips from department m to department n is approximated by G mnˆ… unit load arrival rate to m †…unit load departure rate from n † arrival rate to the material-handlin g system P…”

Section: Alternative Qap-type Formulationsmentioning

confidence: 99%

Unit load and material-handling considerations in facility layout design

Castillo¹,

Peters²

2002

International Journal of Production Research

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The e ectiveness of a layout design cannot be completely measured if the operational characteristics of the manufacturing system are ignored. There is, therefore, a need to develop integrated manufacturing system design models. In this paper, the integration of unit load and material-handling considerations in a facility layout design is presented. This integration is based on a stochastic model that captures the operational characteristics of the manufacturing system and a nonlinear mixed-integer program that incorporates a department formation and facility layout. The non-linear mixed-integer program is solved using a simulated annealing-based algorithm. Analytical results for di erent manufacturing system scenarios are presented and compared with results obtained using alternative QAP-type formulations. Based on our experiments and the characteristics of the di erent formulations, key observations are presented and discussed.

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Section: Alternative Qap-type Formulationsmentioning

confidence: 99%

Unit load and material-handling considerations in facility layout design

Castillo¹,

Peters²

2002

International Journal of Production Research

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“…Note that alternative process plans enable us to increase the throughput rate and decrease in-process inventory. Some other ap-0740-817X © 1997 "lIE" proaches that consider alternative process plans are presented in [7,8,10,13]. For a discussion of other papers that briefly address this issue, see [7].…”

Section: Introductionmentioning

confidence: 98%

“…For a discussion of other papers that briefly address this issue, see [7]. Askin and Mitwasi [13] present a mathematical model and heuristic solution procedure for integrating facility layout with process selection and capacity planning. However, they do not address the cell formation problem.…”

Section: Introductionmentioning

confidence: 99%

Grouping and placement of machine cells

Heragu

Kakuturi

1997

IIE Transactions

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We consider a real-world machine grouping and layout problem in which the objective is not onJy to identify machine cells and corresponding part families' but also to determine a near-optimal layout of machines within each cell and the cells themselves. The three-stage approach developed incorporates materials flow considerations while determining machine groups, considers alternative process plans, exploits part routing information and allows the user to perform sensitivity analysis. The menu-driven, interactive program has been applied to four test problems and an industrial problem. OUf experience with applying the approach to the industrial problem is also reported.

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“…Thus, this research has to be considered seriously before implementation of a system. Former research on this matter is following: Askin and Mitwasi proposed a mathematical heuristic model for facility layout, process selection and capacity planning of a manufacturing system based on the previous approaches [1], such as linear programming [2], heuristic rule based process planning [3], the Lagrangian relaxation techniques for hierarchical production planning [4], quadratic assignment problem (QAP) and graph theory for facilities layout [5]- [7], procedures for assigning operations to machines [8], [9]. Bazargan-Lari reported layout designs in cellular manufacturing for a dynamic food manufacturing and packaging system [10], and Deb and Bhattacharyya adopted fuzzy theory to plan manufacturing facilities layout [11].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Simulation Application for Manual Work Performance Improvement

Hwam¹,

Chung²,

Chang³

et al. 2013

IJIET

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Abstract-Presented in this paper is a framework for analysis and simulation application for performance improvement of manual work in a manned assembly line. In a manufacturing system, productivity is a key of competitiveness for output products, and the manual work performance is one of the decisive factors of productivity of a manned assembly line. However, existing approaches to the manufacturing systems are limited to matters of the plant layout or the robot tasks design in the automated factory and to the manual work are concentrated on the ergonomic based workload analysis. Consequently, the modern approach for the manual work performance improvement has not been researched. As a solution of the current problem, this study proposes an application that analyzes manual work based on work design approach using video-recording, and the system executes a brief simulation of newly derived work standard from the analysis.Index Terms-Assembly line, manual work, simulation, work video analysis.

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Integrating facility layout with process selection and capacity planning

Cited by 28 publications

References 16 publications

Unit load and material-handling considerations in facility layout design

Unit load and material-handling considerations in facility layout design

Grouping and placement of machine cells

Analysis and Simulation Application for Manual Work Performance Improvement

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