نتایج جستجو برای: job problems

تعداد نتایج: 646541  

2016
John Park Yi Mei Su Nguyen Gang Chen Mark Johnston Mengjie Zhang

Job shop scheduling (JSS) problems are optimisation problems that have been studied extensively due to their computational complexity and application in manufacturing systems. This paper focuses on a dynamic JSS problem to minimise the total weighted tardiness. In dynamic JSS, jobs’ attributes are only revealed after they arrive at the shop floor. Dispatching rule heuristics are prominent appro...

2000
J. L. Hurink W. Kern W. Nawijn

In classical shop scheduling, the tasks corresponding to a job may not be executed in parallel, i.e., their processing times may not overlap. In case these tasks are processes , independent of each other, this assumption is no longer justified. We consider corresponding scheduling problems where each job splits into a number of pairwise independent processes that have to be executed on dedicate...

2012
Susan Park Sung-Il Cho Soong-Nang Jang

OBJECTIVES This study was conducted to examine the association between health condition and leaving the labor market among middle-aged and older adults in South Korea. METHODS Data was obtained from individuals aged 45 years and older participating in the 2006 and 2008 Korean Longitudinal Study of Ageing. We used various health measures including chronic diseases, comorbidities, traffic accid...

Flexible job shop scheduling problem )FJSP( is an extension of the classical job shop scheduling problem which allows an operation to be processed by any machine from a given set. FJSP is NP-hard and mainly presents two difficulties. The first one is to assign each operation to a machine out of a set of capable machines, and the second one deals with sequencing the assigned operations on the ma...

Journal: :Research Journal of Applied Sciences, Engineering and Technology 2014

Journal: :International Journal of Programming Languages and Applications 2012

Journal: :Journal of Japan Society for Fuzzy Theory and Systems 1999

Journal: :Artificial Intelligence for Engineering Design, Analysis and Manufacturing 2015

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