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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/8832
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| Title: | Decision support system for lean, agile and leagile manufacturing |
| Authors: | Al-Tamimi, Abdulaziz Al-Masoud, Hesham |
| Keywords: | Decision support system Agile Leagile manufacturing Lean Manufacturing system Analytical hierarchy process Saudi Arabia Industries |
| Issue Date: | 2007 |
| Abstract: | The objective of this research is to develop a methodology for
evaluating whether an existing manufacturing system operates under
traditional, lean, agile or leagile manufacturing. The research is carried out as
follows:
Measuring factors and characteristics factors should be defines from
the literature to built the model by Analytical Hierarchy Process (AHP).
More after, a questionnaire was built to distribute it to internal and external
experts according to their qualifications. The composed data is adjusted using
Expert Choice (EC) software to get the Expert Opinions Ratings.
Other questionnaire was developed to dispense to plants for getting
their response. a Decision Support System (DSS) using a Visual Basic was
developed to come with an Existing Evaluating Rating of plant. Finally, the
Experts Opinion Rating and Existing Evaluating Rating were compared to
conclude that either the manufacturing system strategy is traditional, lean,
agile or leagile manufacturing..
To resolve the manufacturing system in order to become lean, agile or
leagile; a lot of tools will help in becoming lean like Cellular Manufacturing,
Total Quality Management, Pokayoke, Kaizen , Value Stream Mapping, 5 S,
Takt Time, address issues within its supply chain management, increase its
focus on customer service and improve the quality of its IT applications. and
so on.
Three case studies have been carried out with reference to the three
companies which are Saudi Mechanical Industries (SMI) Company,
Advanced Electronics Company (AEC) and Saudi Light Company (SLC). |
| Description: | This study has been conducted & Submitted in partial fulfillment of the requirements for the degree of Master of Science in the Industrial Engineering Department, College of Engineering, King Saud University December 2007 |
| URI: | http://hdl.handle.net/123456789/8832 |
| Appears in Collections: | College of Engineering
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