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All Journal Indonesian Journal of Industrial Engineering & Management Makara Journal of Technology
Sumarsono Sudarto, Sumarsono
Departement of System Cybernetics, Faculty of Engineering, Hiroshima University, Hiroshima 739-8527, Japan
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Multi-Project Scheduling Cost Optimization in a Machine Manufacturer Engineer-to-Order Farizal, Farizal; Rachman, Amar; Tandean, Tifani; Sudarto, Sumarsono; Takahashi, Katsuhiko
Makara Journal of Technology Vol. 20, No. 1
Publisher : UI Scholars Hub

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Abstract

This paper discusses the utilization of mixed integer linear programming (MILP) model to optimize cost for multiproject scheduling in a machine maker company. The objective is to minimize total project’s penalty cost and labor cost. The model formulated shows how to achieve the objective i.e. whether to use outsourcing or overtime to finish all projects. The model of multi-project scheduling was solved by Branch & Bound algorithm coded in Lingo 14.0 software. The case study shows that if a company wants to minimize lateness, it should use overtime instead of outsourcing, which minimize total lateness of projects by 144 days or 73.5%. Whereas, if a company wants to optimize cost, they should use outsourcing instead of overtime, which reduces total cost of about 10,873,000 IDR or 28.5%. These results indicate that the model developed is applicable for optimizing multi-project scheduling.
Challenges in Optimization for the Performance on Sustainability Dimensions in Reverse Logistics Social Responsibility Sudarto, Sumarsono; Takahashi, Katsuhiko; Dewo, Mochammad
Makara Journal of Technology Vol. 27, No. 2
Publisher : UI Scholars Hub

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Reverse logistics social responsibility is preferred as the most acceptable solution for addressing the challenges in stakeholders’ debate regarding social responsibility in supply chains because it involves as many actors as possible in the supply chain to perform social responsibility to achieve sustainability. This paper explores the challenges in achieving optimal policies in sustainability dimensions for collection and recycling facilities in reverse logistics. Sustainability dimensions include economic, environmental, and social aspects. The reverse logistics is modeled on System Dynamics, and a simplified statistical analysis using a contour chart is employed in numerical experiments. Results show a narrow area of optimal solutions in contour charts for policy parameter settings to realize sustainability. Therefore, this paper finds that optimization of reverse logistics to develop sustainability is a highly challenging task for policy makers. Therefore, managers must carefully study their policies before implementation to avoid unnecessary and less optimal performance in the sustainability dimensions.
Analysis of Supply Chain Risks to the Distribution of Cancer Medicine with AHP (Analytical Hierarchy Process) Methods Nasihardani, Dana; Sudarto, Sumarsono; Ichiarto, Bonivasius Prasetya
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.24850

Abstract

This study explores the evolving landscape of supply chain management (SCM) as a critical factor that transcends competition between individual firms and emphasizes collaboration in supply chains. In healthcare, health insurance provides a safety net against  the uncertainties of life, especially cancer, the world's second leading killer. The study focuses on addressing drug delivery delays in cancer care supply chains using the Analytical Hierarchy Process (AHP) and SWOT analysis. Based on SCM concepts, medical supply chain risk management, and AHP methodology, the study uses a qualitative approach that includes data collection on anticancer drug abuse and  focus group discussion (FGD). The AHP hierarchy, which emphasizes timeliness of delivery, highlights two prominent options: direct distribution to hospitals and a hybrid distribution model. A comprehensive SWOT analysis prioritizes key factors, with an emphasis on timeliness, and identifies direct marketing as the most important opportunity for hospitals, highlighting its strategic importance in optimizing the distribution of cancer drugs. The study highlights the need for timely and efficient healthcare supply chains to combat the global cancer problem.
Co-Authors Amar Rachman Dewo, Mochammad Farizal Farizal Ichiarto, Bonivasius Prasetya Katsuhiko Takahashi, Katsuhiko Nasihardani, Dana Tifani Tandean, Tifani