Optimization of Total Changeover
Time in a Medium-Scale Industry
--Naveen Kumar and Sanjay Kajal
The present paper discusses the optimization of scheduling by reducing changeover time in a plywood industry. The Genetic Algorithm (GA) tool is used to solve the m machine and n jobs problem. The GA is developed in C++ language to reduce the changeover time. The production data collected from the industry is used for the analysis. The results obtained for existing sequence of production and changeover time as well as modified sequence obtained through GA are compared and discussed with plant management who found the analysis to be very useful. © 2015 IUP. All Rights Reserved.
Selection of Best Hospital
for Surgery Using AHP
--Hima Gupta
This study describes the use of Analytic Hierarchy Process (AHP) in choosing the best hospital for surgery of a patient suffering from heart disease. There are several competing hospitals and various competing criteria for choosing the most suitable one. By using the AHP, the patient is able to choose the best hospital in a coherent, obvious way which can be scrutinized and understood by all concerned. This study examines some of the useful and estimating matters concerned with the various problems associated with multiple criteria decision-making situation and when the AHP method is used in medical applications. AHP itself solves the difficult and complex issue in a simplified way by breaking down the whole thing into smaller pieces. © 2015 IUP. All Rights Reserved.
Case Study
Toyota Motor Company:
Losing Its Quality Edge?
--Syeda Maseeha Qumer and Debapratim Purkayastha
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