Home           Contact us           FAQs           
     Journal Home     |     Aim & Scope    |    Author(s) Information      |     Editorial Board     |     MSP Download Statistics
2012 (Vol. 4, Issue: 14)
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 

Key words:  Capacity planning coordination, hybrid algorithm, scheduling, , , ,
Vol. 4 , (14): 2061-2066
Submitted Accepted Published
December 20, 2011 January 21, 2012 July 15, 2012

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.
Abstract PDF HTML
  Cite this Reference:
Hadi Mokhtari, 2012. 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, 4(14): 2061-2066.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2015. MAXWELL Scientific Publication Corp., All rights reserved