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Abstract
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Article Information:
Research on Coordinating Job Scheduling and Mid-Term Planning Decisions in a Two-Layer Supply Chain Network
Hadi Mokhtari
Corresponding Author: Hadi Mokhtari
Submitted: December 20, 2011
Accepted: January 21, 2012
Published: July 15, 2012 |
Abstract:
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Generally the decisions in different levels of supply chain are considered independently while the
feasibility of operational decisions greatly depends on the accuracy of forecasts in strategic level. In this study,
a production scheduling problem is considered integrated with a capacity planning problem. This problem
addresses a coordination issue in supply chain area between a tactical and an operational decision process. A
flow shop environment with resource allocation are regarded in which the processing time of a job depends on
the amount of several types of additional resources should be assigned to that job in planning stage. In order
to minimize a combination of maximum completion time and required amount of resources, a decomposition
approach is suggested that strives to tackle the main problem via two subproblems: job sequencing problem and
capacity planning problem. A hybrid evolutionary algorithm is then devised to achieve the accurate schedule
of jobs as well as appropriate allocation of resources.
Key words: Capacity planning coordination, hybrid algorithm, scheduling, , , ,
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Abstract
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Cite this Reference:
Hadi Mokhtari, . Research on Coordinating Job Scheduling and Mid-Term Planning Decisions in a Two-Layer Supply Chain Network. Research Journal of Applied Sciences, Engineering and Technology, (14): 2061-2066.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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