메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Md.Gulzarul Hasan (Aligarh Muslim University) Zoha Qayyum (Aligarh Muslim University) Syed Suhaib Hasan (Aligarh Muslim University)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.18 No.1
발행연도
2019.3
수록면
1 - 24 (24page)
DOI
10.7232/iems.2019.18.1.001

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
We have considered the problem of Annualized hours (AH) in Manpower planning. AH is a method of distributing working hours with respect to the demand over a year. The contribution of this paper is to propose basic models of Annualized hours planning problem with a new objective and the integration of workers willingness to work on each task and week. Four mathematical programming formulations are presented. These proposed models are the best fit when there is a need for minimizing capacity shortage of multiple tasks with preference weights. These models will help the decision makers to plan and schedule their workers in an AH environment with a lot of results of overtime, undertime, annual and weekly effective working hours by each employee, shortages in each week, to manage the flexible working of willingness etc. Finally, An experimental study is performed to validate and analyze the effectiveness of these mathematical programming models. Results of different models are compared and it has been found that working flexibility is directly proportional to the capacity shortages of employees. There is a proper need for control and balance of flexibility.

목차

ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. PROBLEM MOTIVATION AND CONTRIBUTION
4. PROBLEM FORMULATION
5. EXPERIMENTAL STUDY
6. CONCLUSION AND DISCUSS
REFERENCES

참고문헌 (52)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2019-530-000561355