NDLI: Workforce scheduling with social responsibility considerations

Content Provider	IEEE Xplore Digital Library
Author	Moreno-Camacho, C.A. Montoya-Torres, J.R.
Copyright Year	2015
Description	Author affiliation: Escuela de Cienc. Economicas y Administrativas, Univ. de La Sabana, Chia, Colombia (Moreno-Camacho, C.A.; Montoya-Torres, J.R.)
Abstract	Usually, no one consideration over the workforce is having in account to schedule a set of jobs that have to be done. So processing times are assumed to be constant over the planning period for all jobs. However, in the hand-intensive manufacturing systems exist special condition that need to be treated to ensure a safe and reliable labor. This work addressed the problem to schedule a set of jobs to a group of identical workers, with the condition that them productivity rate is affected from the execution of one job to another. This effect is known as “deteriorating job”. A mathematical linear model is developed for the problem with two objects that are evaluated separately. The first objective function is to find a schedule that minimizes the makespan, and the second function objective minimize the maximum tardiness. The mathematical model is tested with random generated instances and a new lower bound for makespan in the multiple-worker case is proposed.
Starting Page	24
Ending Page	29
File Size	379845
Page Count	6
File Format	PDF
ISBN	9781479984008
DOI	10.1109/ICAdLT.2015.7136585
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-20
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deteriorating jobs Productivity vary ratio Workforce scheduling Personnel Social responsibility
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Single-machine scheduling with general deteriorating jobs and learning effect

Minimizing makespan in a single machine scheduling problem with deteriorating jobs and learning effects

A note on two-agent single-machine scheduling problem with deteriorating jobs

Scheduling Deteriorating Jobs with a Common Due Window on a Single Machine

Scheduling linearly deteriorating jobs on parallel machines

Batch Scheduling with Deteriorating Jobs to Minimize the Total Completion Time

Two scheduling problems in group technology with deteriorating jobs

Polynomially solvable cases for scheduling deteriorating jobs with rejection

Online Batch Scheduling of Simple Linear Deteriorating Jobs with Incompatible Families

Workforce scheduling with social responsibility considerations

Similar Documents

Single-machine scheduling with general deteriorating jobs and learning effect

Minimizing makespan in a single machine scheduling problem with deteriorating jobs and learning effects

A note on two-agent single-machine scheduling problem with deteriorating jobs

Scheduling Deteriorating Jobs with a Common Due Window on a Single Machine

Scheduling linearly deteriorating jobs on parallel machines

Batch Scheduling with Deteriorating Jobs to Minimize the Total Completion Time

Two scheduling problems in group technology with deteriorating jobs

Polynomially solvable cases for scheduling deteriorating jobs with rejection

Online Batch Scheduling of Simple Linear Deteriorating Jobs with Incompatible Families

Workforce scheduling with social responsibility considerations