Kassu Jilcha
Decision Science Operations Research Human Factors and Ergonomics Manufacturing and Production Systems Quality Engineering General Engineering Occupational Health and Safety Management Occupational Health and Safety in Workplaces Business and Management Studies Business Strategies and Management Research Health, Technology, Consumer Behavior Safety management systems Occupational Health and Safety Research Occupational safety and health Quality and Safety in Healthcare Business Strategies and Innovation Healthcare Quality and Management Management Systems and Quality Improvement Flow shop scheduling Single-machine scheduling Job shop scheduling Open-shop scheduling Scheduling (production processes) Diverse Industrial Engineering Technologies Economic and Industrial Development Industrial and Mining Safety Economics and Econometrics Health Information Management Industrial and Manufacturing Engineering Information Systems and Management Management Science and Operations Research Mechanical Engineering Medical Laboratory Technology Occupational Therapy Radiological and Ultrasound Technology Safety, Risk, Reliability and Quality Strategy and Management

Bio

Kassu Jilcha is an Associate Professor at the School of Mechanical and Industrial Engineering, Addis Ababa Institute of Technology, Addis Ababa University, Ethiopia. His research interests span decision science, operations research, human factors and ergonomics, manufacturing and production systems, quality engineering, and general engineering. He has authored works on job shop scheduling and the influence of lean on occupational safety and health in manufacturing industries. Dr. Jilcha holds a PhD from the Addis Ababa Institute of Technology and has previously served as a Lecturer at Wollo University and an Assistant Professor at Adama Science and Technology University. He is also an active reviewer for the Global Journal of Research in Engineering (GJRE).

Educational Journey

Addis Ababa Institute of Technology

PhD/Dr. in School of Mechanical and Industrial Engineering • School of Mechanical and Industrial Engineering

2017

Experience

Addis Ababa Institute of Technology

Assoc. Professor

2018 - Present • school of mechanical and Industrial engineering

Asst. Professor

2017 - 2018 • School of mechanical, chemical and material engineering

Lecturer

2010 - 2017 • Mechanical
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Grants and Awards

GRANT

project

Addis Ababa City government

Research

Lean Influence on Occupational Safety and Health in Manufacturing Industries

Article May 31, 2016

This paper attempts to investigate the influence of lean thinking on occupational safety and health problems improvement in manufacturing industries and it also to show how occupational safety and health severely hurts manufacturing industries productivity. Nowadays, developing countries are focused on Technology Transfer and be engaged in developing their manufacturing industries so as to compete globally and for their economic growth. While expanding the development of their manufacturing industries, they are also importing new technologies with which they are not familiar and furthermore, neglecting workplace safety and health hazards impact on productivity and workers well-being. Due to these reasons, much productive working time is lost and high costs have been incurred. To highlight the impact of lean on workplace safety and health, this study was conducted by reviewing recent state-of-the-art literature and taking into consideration secondary data records from Ethiopian Ministry of Labor and Social Affair (MOLSA) for simple illustrative example. Findings from the literatures showed that there is less attention and consideration of lean workplace safety and health in manufacturing industries.

Job Shop Scheduling Problem for Machine Shop with Shifting Heuristic Bottleneck

Article March 23, 2015

Job shop scheduling is an Np-Hard combinatory in the field of scheduling problem. Due to this reason, Dejena Aviation Industry (DAVI) has faced a problem to determine the optimum sequences of jobs on machines that can optimize the makespan. The purpose of this study is therefore, to minimize the makespan of the job shop production system of DAVI production system using shifting bottleneck algorithm. Secondary data was collected from the production log book five machines were considered during the production of five jobs. The findings of the shifting bottleneck algorithms showed that an 8.33% reduction in the total makespan of the company job shop production system. Moreover; machine one (41%) and three (36%) are found to be least utilized machines whereas machine three (64%) and five (59%) are relatively the busiest machines.