FORMAT ASSIGNMENT 2
ASSIGNMENTS 2
ABSTRACT REVIEW LITERATURE NAME : Agus Ruhimat
NIM : 263022300012
A. ARTICLE #1
1 TITLE Workforce production planning under uncertain learning rates
2 AUTHOR(s) Cavagnini, Rossana
3 JOURNAL (Q1 or Q2) International Journal of Production Economics
4 VOLUME Volume 225
5 ISSUE 107590
6 YEAR 2020
7 URL https://doi.org/10.1016/j.ijpe.2019.107590
8 RESEARCH BACKGROUND The paper centers on a product manufacturer's efforts to harness human learning for workforce development and cost reduction.
9 KNOWLEDGE GAP The study indicates that, in assignment decisions, the mean learning rate is a critical factor to consider.
10 NEED STATEMENT The authors present a two-stage stochastic programming model for the production planning problem. This model incorporates worker assignment decisions, considering an exponential learning curve.
The learning curve is linearized to create a mixed- integer linear program for efficient solution.
B. ARTICLE #2
1 TITLE An Integrated Two-Stage Inventory and Workforce Planning Model with Variable Production Rates 2 AUTHOR(s) AlDurgam, Mohammad et al.
3 JOURNAL (Q1 or Q2) Arabian Journal for Science and Engineering
4 VOLUME 48 (5)
5 ISSUE 7127
6 YEAR 2023
7 URL https://doi.org/10.1007/s13369-022-07458-1
8 RESEARCH BACKGROUND This paper delves into the economic lot-sizing and manpower planning within a two-stage manufacturing system, consisting of a vendor (first stage) and a manufacturer (second stage)
9 KNOWLEDGE GAP The paper explores the consequences of manpower planning decisions on the entire supply chain system.
10 NEED STATEMENT The vendor is considered a leader, and the
manufacturer is a follower in a Stackelberg sequential game. The paper introduces two contracts designed to distribute resulting savings between the vendor and the manufacturer
C. ARTICLE #3
1 TITLE Operator assignment in a labor-intensive
manufacturing cell considering inter-cell manpower transfer
2 AUTHOR(s) Kuo, Yiyo
3 JOURNAL (Q1 or Q2) Computers & Industrial Engineering
4 VOLUME 110
5 ISSUE 83-91
6 YEAR 2017
7 URL https://doi.org/10.1016/j.cie.2017.05.036
8 RESEARCH BACKGROUND This research addresses an operator assignment problem that incorporates inter-cell manpower transfer, aiming to minimize the total required
manpower. The methodology proposed involves two phases to achieve the objectives.
9 KNOWLEDGE GAP The study suggests that the methodology holds
promise for practical applications, emphasizing its relevance and potential benefits in solving real-world problems.
10 NEED STATEMENT this research contributes a two-phase methodology, utilizing integer and mixed-integer programming, to address the operator assignment problem with inter- cell manpower transfer. The case study provides a practical context, and the experimental results underscore the effectiveness of the proposed approach in terms of manpower savings and efficiency improvements.