A note on “Human and Machine Effects in a Just-In-Time Scheduling Problem” [Eren, T. (2009). Human Factors and Ergonomics in Manufacturing, 19(4), 294-299]

2010 ◽  
Vol 21 (2) ◽  
pp. 207-208
Author(s):  
Dehua Xu ◽  
Yunqiang Yin
Keyword(s):  
Human Factors ◽  
Just In Time ◽  
Scheduling Problem ◽  
Human Factors And Ergonomics ◽  
Time Scheduling

scholarly journals A Study on the Enhanced Best Performance Algorithm for the Just-in-Time Scheduling Problem

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Sivashan Chetty ◽  
Aderemi O. Adewumi
Keyword(s):  
Local Search ◽  
Current Problem ◽  
Initial Study ◽  
Just In Time ◽  
Scheduling Problem ◽  
Metaheuristic Algorithm ◽  
Scheduling Problems ◽  
Specific Point ◽  
Time Scheduling ◽  
Problem Setting

The Just-In-Time (JIT) scheduling problem is an important subject of study. It essentially constitutes the problem of scheduling critical business resources in an attempt to optimize given business objectives. This problem is NP-Hard in nature, hence requiring efficient solution techniques. To solve the JIT scheduling problem presented in this study, a new local search metaheuristic algorithm, namely, the enhanced Best Performance Algorithm (eBPA), is introduced. This is part of the initial study of the algorithm for scheduling problems. The current problem setting is the allocation of a large number of jobs required to be scheduled on multiple and identical machines which run in parallel. The due date of a job is characterized by a window frame of time, rather than a specific point in time. The performance of the eBPA is compared against Tabu Search (TS) and Simulated Annealing (SA). SA and TS are well-known local search metaheuristic algorithms. The results show the potential of the eBPA as a metaheuristic algorithm.

scholarly journals Overcoming COVID-19: What can human factors and ergonomics offer?

2020 ◽  
Vol 25 (2) ◽  
pp. 49-54 ◽  
Author(s):  
Ayse P Gurses ◽  
Megan M Tschudy ◽  
Sharon McGrath-Morrow ◽  
Amyna Husain ◽  
Barry S Solomon ◽  
...  
Keyword(s):  
Human Factors ◽  
Health Care Systems ◽  
Just In Time ◽  
Human Factors And Ergonomics ◽  
Rapid Spread ◽  
Control And Prevention ◽  
Care Systems ◽  
Barriers To Implementation ◽  
Pandemic Response ◽  
Novel Coronavirus

A novel coronavirus disease, named coronavirus disease 2019 or COVID-19, which sparked an outbreak in Wuhan, China in December 2019, is now a pandemic. The rapid spread of this disease from one to more than 155 regions worldwide in 2.5 months highlights the need for better preparation to manage a pandemic. In this commentary, we describe how Human Factors and Ergonomics (HFE) can contribute to the COVID-19 pandemic response. Specifically, we provide an example of how HFE methodologies informed workflow redesigns implemented as part of COVID-19 pandemic preparations in an academic pediatric ambulatory clinic. We then identify key mechanisms and areas where HFE can contribute to and improve the effectiveness of a pandemic response: Just-in-time (JIT) training development, adapting workflows and processes, restructuring teams and tasks, developing effective mechanisms and tools for communication, engaging patient and families to follow the recommended practices (e.g., social distancing, revised hospital visitation policies), identifying and mitigating barriers to implementation of plans, and learning from failures and successes to improve both the current and future pandemic responses. We recommend integrating HFE approaches and tools across health care systems, state health organizations, and the Centers for Disease Control and Prevention (CDC) as they confront this pandemic.

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