Share Your Research, Maximize Your Social Impacts
JOB-SHOP SCHEDULING OPTIMIZATION WITH STOCHASTIC PROCESSING TIMES
Journal: INTERNATIONAL JOURNAL OF ENGINEERING TECHNOLOGIES AND MANAGEMENT RESEARCH (Vol.6, No. 1)Publication Date: 2019-01-30
Authors : Jaber S. Alzahrani;
Page : 73-83
Keywords : JSSP; Genetic Algorithm; Optimization; @Risk;
Source : Download
Find it from : Google Scholar
Abstract
In this study, a job shop scheduling optimization model under risk has been developed to minimize the make span. This model has been built using Microsoft Excel spreadsheets and solved using @Risk solver. A set of experiments have been also conducted to examine the accuracy of the model and its effectiveness has been proven.
Other Latest Articles
- Bioefficacy of post-emergence herbicide Prioxofop-Propanyl (Markclodina) against weeds in wheat
- Bio-economic assessment of non-chemical weed management strategies in minor crops: A review on Weed research issues, challenges, and opportunities in Pakistan
- THEORETICAL AND CONCEPTUAL FRAMEWORKS: AN INVESTIGATION ON THE HURDLES LEARNERS WITH VISUAL IMPAIRMENT FACE ACADEMICALLY DUE TO THE INTRODUCTION OF INCLUSIVE EDUCATION IN TWO SELECTED SECONDARY SCHOOLS IN ITEZHI-TEZHI DISTRICT OF ZAMBIA
- Influence of weed control practices on nutrient uptake in cotton plant
- Growth and yield of direct seeded upland rice varieties as influenced by weed management and organic manure application
Last modified: 2019-02-17 18:19:40