Debrina Puspita Andriani
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Penjadwalan Waktu Istirahat Optimal Untuk Mengurangi Risiko Musculoskeletal Disorders Berdasarkan OCRA Index Debrina Puspita Andriani; Sugiono Sugiono
Jurnal Ilmiah Teknik Industri Vol. 15, No. 2, Desember 2016
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v15i2.2588

Abstract

Repetitive tasks carried out by workers of packaging department of mineral water company led to some complaints of pain and fatigue on a particular body part of the workers, especially on their upper body part. This study aims to determine risk level of musculoskeletal disorders with OCRA index and provides optimal break schedule to reduce the risk level. Based on calculations using the OCRA index method, it is found that risk of injury to the workers were medium with high level of risk. Despite small workload of the operators, this may be caused by poor distribution of rest periods and lengthy working time for highly repetitive tasks. Improvement proposed in this study is type of work-compliant break time allocation. Optimal scheduling of which main objective is optimal break time is eventually obtained by applying enumeration algorithm with integer linear programming model. Based on OCRA index after improvement, it is clear that the proposal decreases the risk level of the workers.
Redesain Produk Berfokus Pada Customer Requirements Dengan Integrasi Axiomatic Design dan House of Quality Debrina Puspita Andriani; Mochamad Choiri; FX. Berry Desrianto
Jurnal Ilmiah Teknik Industri Vol. 17, No. 1, Juni 2018
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v17i1.5867

Abstract

Problems related to the storage of shoes include discomfort in putting shoes and shoes are still dusty. Shape shelves are generally open. Shoe rack products need to be developed using integration of axiomatic design method with house of quality or called axiomatic house of quality (AHOQ). AHOQ is a modification of HOQ that aims to reduce errors arising from the translation of user statements that are not appropriate in the needs of the product. With the customer requirements are clear, then can determine the functional requirements and design parameters are more appropriate. This research produces dimension specification of shoe rack according to anthropometry data of Indonesia and for material used. Shoe rack is also designed to have a door made of acrylic tansparan, so in addition to protect shoes from dust, facilitate in finding and finding shoes to be used. Testing using ANSYS software, obtained the ability to receive maximum pressure and product safety factors.
OPTIMIZING SUPPLY CHAIN STRATEGIES THROUGH COMPETITION BETWEEN LOCAL AND EXTERNAL SUPPLIERS salsabila, Dhia Naqqiya; Debrina Puspita Andriani; Rakhmat Himawan
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 2 (2025): In Process
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

This study analyzes the optimization of supply chain strategies in the context of competitive interactions between local and external suppliers within the souvenir food retail industry in Indonesia. Motivated by increasing demand due to tourism growth and supply uncertainties in traditional sourcing, this research develops a two-echelon game-theoretic supply chain model involving one manufacturer and two suppliers. The study incorporates three competition scenarios: a Stackelberg game with the local supplier as leader, a Stackelberg game with the external supplier as leader, and a Nash game where both suppliers act simultaneously. The model considers yield uncertainty in production and consumer preference for product quality, which affects demand and pricing decisions. The manufacturer’s learning cost from using unfamiliar external materials is also modeled. Analytical solutions are derived using backward induction and equilibrium analysis, and numerical simulations are conducted based on real data from coconut sourcing in West Java. The results show that supplier leadership significantly affects wholesale pricing and procurement decisions. Moreover, increasing consumer preference for quality enhances the competitiveness of external suppliers but raises procurement and learning costs. The Nash scenario provides a balanced outcome, while Stackelberg scenarios yield more favorable results depending on the dominant supplier. This research contributes to supply chain theory by incorporating consumer preference, learning cost, and yield uncertainty in a game-theoretic framework. Practically, it offers strategic recommendations for manufacturers to diversify supply and improve resilience in response to demand volatility and market competition.