Optimal dynamic assignment of a flexible worker on an open production line with specialists

Sennott, Linn I.; Oyen, Mark P. Van; Iravani, Seyed M. R.

doi:10.1016/j.ejor.2004.06.030

Cited by 44 publications

(39 citation statements)

References 25 publications

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“…In order to maximize the effectiveness of the organization, Norman et al [20] developed a mixed integer programming model for worker assignment in manufacturing cells with the ability of worker training in order to change their skill levels. Sennott et al [18] studied the worker flexibility assignment in an open production line with specialists by formulating Markov decision process models of K-station production lines. Hopp and Oyen [17] presented approaches for assessing and classifying manufacturing and service operations in terms of their suitability for use of cross-trained workers.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of Cellular Manufacturing Systems Considering Dynamic Production Planning and Worker Assignments

Aljuneidi¹,

Bulgak²

2016

JMSS

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This article presents a comprehensive mathematical model for the design and analysis of Dynamic Cellular Manufacturing Systems (DCMS). The proposed DCMS model considers several manufacturing attributes such as multi period production planning, dynamic system reconfiguration, duplicate machines, machine capacity, the available time for workers, worker assignments, and machine procurement. The objective is to minimize total costs; consisting of holding cost, outsourcing cost, inter-cell material handling cost, maintenance and overhead cost, machine relocation cost. While a study of published articles in the area of Cellular Manufacturing Systems (CMS) shows that workforce management issues have not sufficiently been addressed in the literature, the model presented also incorporates CMS workforce management issues such as salaries, hiring and firing costs of workers in addition to the manufacturing attributes. In-depth discussions on the results for two numerical examples are presented to illustrate applications of the proposed model. The model developed aims to raise the envelope by expanding and improving several CMS models previously presented in the literature.

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Section: Literature Reviewmentioning

confidence: 99%

Design of Cellular Manufacturing Systems Considering Dynamic Production Planning and Worker Assignments

Aljuneidi¹,

Bulgak²

2016

JMSS

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“…Bartholdi and Eisenstein [4] and Bartholdi et al [5] studied bucket brigade lines. Farrar [9], Iravani et al [14], Sennott et al [23], Duenyas et al [7], Ahn et al [1], Andradottir et al [2], and Van Oyen et al [25] investigated the optimal assignment of flexible labor in tandem lines.…”

Section: Literature Reviewmentioning

confidence: 99%

Design and control of agile automated CONWIP production lines

Hopp

Iravani²,

Shou

et al. 2008

Naval Research Logistics

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Abstract:In this article, we study the design and control of manufacturing cells with a mix of manual and automated equipment, operating under a CONWIP pull protocol, and staffed by a single agile (cross-trained) worker. For a three-station line with one automated station, we fully characterize the structure of the optimal control policy for the worker and show that it is a static priority policy. Using analytical models and extensive simulation experiments, we also evaluate the effectiveness of practical heuristic control policies and provide managerial insights on automation configuration design of the line. This characterization of the worker control policy enables us to develop managerial insights into the design issues of how best to locate and concentrate automation in the line. Finally, we show that, in addition to ease of control and greater design flexibility, the CONWIP protocol also offers higher efficiency and robustness than does the push protocol.

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“…Floating worker systems have been examined by Sennott et al (2006), who considered serial production lines in which each station has a specialist, and one fully cross-trained generalist to be assigned to any station. They developed Markov decision models including set-up costs, holding costs, and set-up time and showed that the flexible system performs better than a static system.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Resource Allocation to Improve Service Performance in Order Fulfillment Systems

Gue¹

2009

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Optimal dynamic assignment of a flexible worker on an open production line with specialists

Cited by 44 publications

References 25 publications

Design of Cellular Manufacturing Systems Considering Dynamic Production Planning and Worker Assignments

Design of Cellular Manufacturing Systems Considering Dynamic Production Planning and Worker Assignments

Design and control of agile automated CONWIP production lines

Dynamic Resource Allocation to Improve Service Performance in Order Fulfillment Systems

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