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Article
Publication date: 1 February 2000

Shiu Hong Choi and James Siu Lung Lee

Minimising makespan aims to achieve high utilisation of equipment and resources by getting all jobs out quickly. This is an important scheduling criterion, especially…

Abstract

Minimising makespan aims to achieve high utilisation of equipment and resources by getting all jobs out quickly. This is an important scheduling criterion, especially for automated systems, because of the high investment cost. The problem, however, becomes complex when many parts and machines are involved. This is because different parts may require different numbers of operations, and there are many possible schedules. For small problems, a mathematical programming model for minimising makespan is formulated. For large problems, a sequencing algorithm based on decomposition and pairwise comparison is proposed. The idea of “total overlapping time” in the sequencing algorithm is introduced to determine the solution of each sub‐schedule. It maximises the number of jobs working at different machines at the same time, while satisfying the parts’ operation precedence and machine constraints. The differences between this method and the traditional graphical method are discussed. The sequencing algorithm significantly reduces the number of schedules for consideration and hence, the computational power required.

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Integrated Manufacturing Systems, vol. 11 no. 1
Type: Research Article
ISSN: 0957-6061

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Article
Publication date: 1 September 2000

Shiu Hong Choi and James Siu Lung Lee

Minimizing penalty cost is one of the major objectives in FMS decision making when job‐due dates cannot be met. The study focuses on minimization of penalty cost when…

Abstract

Minimizing penalty cost is one of the major objectives in FMS decision making when job‐due dates cannot be met. The study focuses on minimization of penalty cost when neither increase in system capacity nor diversification of jobs to other plants or production lines is possible. A mathematical programming model combining both part type selection and scheduling decision making is proposed for small problems. For large problems, a simple control parameter is identified. Seven despatching rules are applied in conjunction with the control parameter and their differences in performance are reported. Not only proves that performance can be improved by a filtration process applied before despatching rules are applied, but also finds that there is no significant difference in performance between different despatching rules after the appropriate filtration process is applied. The effectiveness of the proposed control parameter is further illustrated by comparing the results with a continuous flow model.

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Integrated Manufacturing Systems, vol. 11 no. 5
Type: Research Article
ISSN: 0957-6061

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Article
Publication date: 1 April 2004

Shiu‐Hong Choi and James SiuLung Lee

Job sequencing is an important stage in any hierarchical production control model, especially when a real‐time dispatching rule is not employed. The problems become…

Abstract

Job sequencing is an important stage in any hierarchical production control model, especially when a real‐time dispatching rule is not employed. The problems become complicated when constraints, such as different parts requiring different operation processes at different machines and with different production priorities, are taken into consideration in the development of sequencing models. This paper first describes a mathematical programming model developed for small flexible manufacturing systems (FMS) makespan minimization sequencing problems. For large problems, a heuristic decomposition‐based algorithm is proposed. The algorithm is based on the proposed concept of track generation and track identification. Each part type may require a different number of operation processes at different machines. A numerical example is used to illustrate the use of the algorithm.

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Journal of Manufacturing Technology Management, vol. 15 no. 3
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 8 June 2012

Bob Duckett

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Reference Reviews, vol. 26 no. 5
Type: Research Article
ISSN: 0950-4125

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Book part
Publication date: 7 June 2010

Michael J. Burke and Sloane M. Signal

While research on workplace safety spans across disciplines in medicine, public health, engineering, psychology, and business, research to date has not adopted a…

Abstract

While research on workplace safety spans across disciplines in medicine, public health, engineering, psychology, and business, research to date has not adopted a multilevel theoretical perspective that integrates theoretical issues and findings from various disciplines. In this chapter, we integrate research on workplace safety from a variety of disciplines and fields to develop a multilevel model of the processes that affect individual safety performance and safety and health outcomes. In doing so, we focus on cross-level linkages among national, organizational, and individual-level variables in relation to the exhibition of safe work behavior and occurrence of individual-level accidents, injuries, illnesses, and diseases. Our modeling of workplace safety is intended to fill a theoretical gap in our understanding of how the multitude of individual differences and situational factors interrelate across time to influence individual level safety behaviors and the consequences of these actions, and to encourage research to expand the limits of our knowledge.

Details

Research in Personnel and Human Resources Management
Type: Book
ISBN: 978-0-85724-126-9

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