Discrete Event Simulation For Product-Service System (Pss) Implementation In Commercial Vehicle Manufacturer

Buana, Satria Wira (2018) Discrete Event Simulation For Product-Service System (Pss) Implementation In Commercial Vehicle Manufacturer. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Commercial vehicle industry shows trend shift with the entry of Indonesia's biggest start-up, Go-Jek. Go-Jek provides an online renting application for commercial vehicle Go-Box, that can disrupt the industry. Driven by increasing competitiveness and sustainability issue, commercial vehicle manufacturer should make an innovation to survive in the tight competition and reduce their impact to the environment. A new business model that combines product and service in fulfilling customer demand has emerged as a solution to the problem. This new business model is called Product-Service System (PSS). PSS consists of three business models. Product-oriented model focuses on offering physical goods to the customer. Product-oriented Service (PoS) bundles product with service that might be needed and UoS focus on the serviceability of the product by renting the product to the customer. As a new business model, PSS has several risks related to its implementation that have to be considered. To be successfully implemented, PSS implementation has to be assessed carefully to avoid unnecessary things. Therefore, discrete event simulation is used to evaluate PSS business model based on financial and environment indicators. Simulation is done to model manufacturing process and product life cycle of commercial vehicle and assess risk cost. By using market trend and combination between product-oriented model, PoS, and UoS, the manufacturer could maximize income as much as IDR 7,889,245/unit.

Item Type: Thesis (Undergraduate)
Additional Information: RSI 658.403 52 Bua d-1
Uncontrolled Keywords: Product-Service System, Discrete Event Simulation, Product-oriented model, Product-oriented Service (PoS), Use-oriented Service (UoS)
Subjects: Q Science > QA Mathematics > QA274.2 Stochastic analysis
Q Science > QA Mathematics > QA276 Mathematical statistics. Time-series analysis. Failure time data analysis. Survival analysis (Biometry)
Q Science > QA Mathematics > QA76 Computer software
T Technology > TA Engineering (General). Civil engineering (General) > TA169 Reliability (Engineering)
T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User: Buana Satria Wira
Date Deposited: 28 Jun 2021 06:34
Last Modified: 28 Jun 2021 06:34
URI: https://repository.its.ac.id/id/eprint/56438

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