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Application of Value Chain Strategy to Ensure the Sustainability of Online Transportation Services Rini Mulyani Sari; Evan Nugraha; Asep Kurniawan
Jurnal Manajemen Industri dan Logistik Vol. 9 No. 1 (2025): 6 original research articles, were authored/co-authored by 16 authors from 1 co
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v9i1.1421

Abstract

Technological advancements have greatly impacted various aspects of modern life, including the transportation industry. The aim of this research is to enhance organizational efficiency by implementing lean supply chain principles to online transportation services in Indonesia. This study employed an exploratory analytical qualitative approach to analyze the research variables. The methodology used involved distributing questionnaires and conducting interviews with 120 users of online transportation services. The novelty of this research is to examine the application of the value chain in the service industry, specifically in online transportation service. The study concludes that online transportation service apps should increase traceability to ensure that the driver closest to the client receives the order, implementing a user-friendly feature, enhance the application’s performance, and increase the response time.
Optimizing Online Transportation Efficiency with a Value Chain Taguchi Method Approach Rini Mulyani Sari; Evan Nugraha
Jurnal Manajemen Industri dan Logistik Vol. 9 No. 2 (2025): 10 original research articles, were authored/co-authored by 33 authors from 2 c
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v9i2.1639

Abstract

This study explores how applying the Taguchi method as a robust design tool can strengthen value chain integration in Indonesia’s ride-hailing services. A survey of 162 users was conducted, with responses examined through factor allocation, variance analysis, and a structured quality control cycle covering verification, validation, implementation, feedback, documentation, and reporting. The findings highlight several service quality drivers: timely response during peak demand, transparent pricing, convenient digital payments, and dependable customer support. The results reveal gaps between actual operations and customer expectations, underscoring the need for tighter alignment. By positioning the Taguchi method within a service-based value chain, this research introduces a novel contribution, demonstrating how quality design principles traditionally applied in manufacturing can enhance efficiency, resilience, and customer satisfaction in the competitive ride-hailing sector.
Analysis of Effectiveness Lot Sizing Based on Design of Experiment Evan Nugraha; Gianti Puspawardhani; Rida Norina
Community Engagement and Emergence Journal (CEEJ) Vol. 5 No. 6 (2024): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v6i3.8647

Abstract

Lot sizing techniques have been widely analyzed by experts, because ordering costs, storage costs, and lot sizes have a significant impact on the total cost of ordering. This study uses lot sizing techniques including Wagner-Whitin algorithm, Silver-Meal algorithm, Least Unit Cost, Least Total Cost, Part Period Balancing, Period Order Quantity, Groff algorithm, and Lot for Lot. The data used is taken from a chemical raw material procurement company, including ordering and storage costs. The initial analysis concluded that the Silver-Meal algorithm and the Groff algorithm have relative biases that are close to the Wagner-Whitin algorithm. The second analysis concluded that for the lot sizing technique, the calculated F value (84.3) was greater than the F table value (2.1), indicating a significant effect of the lot sizing technique on the relative bias percentage. Furthermore, the demand analysis shows that the calculated F value (80.0) is greater than the F table value (2.6), indicating a significant influence of the demand on the percentage relative bias