cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota surabaya,
Jawa timur
INDONESIA
Jurnal Teknik Industri
Published by Universitas Kristen Petra Surabaya
ISSN : 14112485     EISSN : 20877439     DOI : -
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Jurnal Teknik Industri aims to: Promote a comprehensive approach to the application of industrial engineering in industries as well as incorporating viewpoints of different disciplines in industrial engineering. Strengthen academic exchange with other institutions. Encourage scientist, practicing engineers, and others to conduct research and other similar activities.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol. 21 No. 2 (2019): December 2019" : 5 Documents clear
An Exploration of Risks Involved in Managing Supplier Portfolio in Multinational Companies Operating in Indonesia Nova Sepadyati
Jurnal Teknik Industri Vol. 21 No. 2 (2019): December 2019
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (834.051 KB) | DOI: 10.9744/jti.21.2.79-90

Abstract

Outsourcing applications have widely used and regarded as a primary strategic mana­ge­ment tool by firms. However, particularly in the Fast Moving Consumer Goods (FMCG) indus­try, most companies have at least once declined from a renewing contract with the same service provider. There have not been any studies regarding risk management in a buyer-supplier relation­ship in multinational companies (MNCs) from developed countries operating in an emerging country, particularly in Indonesia. The purpose of this qualitative study is to find out how MNCs in the FMCG sector in Indonesia choose their suppliers, risk perceived, and how they manage their relationship with different suppliers to ensure their performance. Buyer's previous experience, time/cost pressure, and company's culture proved to influence companies in selecting suppliers. Key risks perceived by companies mainly regarding unperformed suppliers, supplier's opportunistic behaviour, and unstable economic/political condition. To ensure a supplier's perfor­mance, companies need to set different relationship positioning for each activity outsourced through a proper type of contract and aligned performance measurement. Moreover, a formal supplier rating has not found in all companies, let alone supplier development initiatives.
On Modelling and Solving Heterogeneous Vehicle Routing Problem with Multi-Trips and Multi-Products Fran Setiawan; Nur Aini Masruroh; Zita Iga Pramuditha
Jurnal Teknik Industri Vol. 21 No. 2 (2019): December 2019
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (672.059 KB) | DOI: 10.9744/jti.21.2.91-104

Abstract

Vehicle routing problem (VRP) is a model to determine an optimal routing plan for a fleet of homogeneous vehicles to serve a set customer which some operational constraints are satisfied. In most practical distribution problems, customer demands are served using heterogeneous fleet of vehicles. This kind of VRP is called Heterogeneous Vehicle Routing Problem (HVRP). HVRP has evolved into a rich research area because of its practical. There were many studies of rich extensions of the standar HVRP. This research aims to enrich the extentions of HVRP which is motivated by real case in one of pharmacy distribution company in Indonesia which is delivered multi-products to its 55 customers by allowing some vehicles which has small capacity to perform multi-trips. This problem is called Heterogeneous Vehicle Routing Problem with Multi-Trips and Multi-Products (HVRPMTMP).The mixed integer linear programming is developed based on four-index vehicle flow formulation. The model can be used generally in the same context of distribution problem. HVRPMTMP is generally NP-Hard problem, so the computational time using branch and bound in LINGO 16.0 is increasing exponentially by increasing the number of customers. Genetic algorithm is proposed to solve the real case. The result of the proposed GA can reduce the total cost from Rp 352540.6,- to Rp 180555,- or 48.78% from the current company policy.
Impact of an Ageing Society on Healthcare Expenditure of National Health Insurance in Taiwan Karina Agustin; Shou-Yan Chou
Jurnal Teknik Industri Vol. 21 No. 2 (2019): December 2019
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.659 KB) | DOI: 10.9744/jti.21.2.49-56

Abstract

The increase in healthcare expenditure always becomes an issue considered by the National Health Insurance (NHI) program in Taiwan. Accordingly, analyzing the root cause is a significant first step in dealing with this issue. This study hypothesized that the greying population in Taiwan is the main reason that devours a vast health care expenditure. Samples of the population in Taiwan's National Health Insurance databases together with age-expenditure profile analysis and decomposing approach of the components of healthcare expenditure will analyze the impact of population ageing and estimate the contributions of population ageing shifting to NHI's expenditure in Taiwan.  The result could be considered for policymakers and the government to overcome this issue in Taiwan.
Throughput Analysis on a Multi-state Manufacturing System by Considering Availability Nabila Yuraisyah Salsabila; Nurhadi Siswanto; Erwin Widodo; Oryza Akbar Rochmadhan
Jurnal Teknik Industri Vol. 21 No. 2 (2019): December 2019
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.302 KB) | DOI: 10.9744/jti.21.2.69-78

Abstract

Manufacturing technology becomes more complex as customer demand increases. Most manufacturing companies consist of multi-state manufacturing networks. Therefore, the reliability and availability parameters become an important issue to satisfy customer demand. Unavailability can result in reducing throughput because of decreasing operational production time. To resolve this problem, the buffer inventory can minimize the occurrence of material starving and production blocking during the equipment downtime. This paper will focus on experimenting with buffer inventory levels and the capacity of a multi-state manufacturing network to increase the production throughput on a company that has 70,000 tons per year of capacity. However, due to the unavailability problem, the existing system capacity decreases to 62,175 tons per year. The simulation model is used to improve throughput by modeling the failure interruption and the buffer inventory logics during the production process.
Incorporating Cannibalization into Pricing Optimization Using Choice Data: An Application to the Pricing of Mobile Broadband Services Fransiscus Rian Pratikto
Jurnal Teknik Industri Vol. 21 No. 2 (2019): December 2019
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.21.2.57-68

Abstract

Price differentiation may not be as effective in increasing profitability due to imperfect segmentation, arbitrage, and, cannibalization. Cannibalization takes place when customer with higher willingness-to-pay buys lower-priced product. This research proposes an approach to incorporating cannibalization into pricing optimization using choice data. From choice data, individual level utilities are estimated using hierarchical Bayes and individual choice is predicted using randomized first choice simulation. Individual choices are then aggregated to obtain the demand function. The novelty of this research is in the way cannibalization is incorporated into the pricing optimization. Instead of integrating cannibalization into the demand function or representing it as a separate component in the optimization formulation, in this research, cannibalizing products are incorporated into the simulation scenario as competing products, based on which the demand functions used in the optimization are derived. This approach is more direct and realistic than those in the previous research. The approach was implemented in a case study of mobile broadband services in Indonesian price-sensitive market. The result shows that two-fare-class price differentiation incoporated with product differentiation increases total contribution of about 60% compared to single-fare-class policy. Furthermore, it is also shown from our case study that starting from a three-fare-class policy, through iterations, our approach suggests that policy with two-fare-class results in a not significantly different total contribution.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2019 2019


Reset
Filter By Issues
All Issue Vol. 26 No. 1 (2024): June (Preprint) Vol. 25 No. 2 (2023): December 2023 Vol. 25 No. 1 (2023): June 2023 Vol. 24 No. 2 (2022): Dec 2022 Vol. 24 No. 1 (2022): June 2022 Vol. 23 No. 2 (2021): Dec 2021 Vol. 23 No. 1 (2021): June 2021 Vol. 22 No. 2 (2020): December 2020 Vol. 22 No. 1 (2020): June 2020 Vol. 21 No. 2 (2019): December 2019 Vol. 21 No. 1 (2019): June 2019 Vol. 20 No. 2 (2018): December 2018 Vol. 20 No. 1 (2018): June 2018 Vol. 19 No. 2 (2017): Desember 2017 Vol. 19 No. 1 (2017): JUNE 2017 Vol. 18 No. 2 (2016): DECEMBER 2016 Vol. 18 No. 1 (2016): JUNE 2016 Vol. 17 No. 2 (2015): DECEMBER 2015 Vol. 17 No. 1 (2015): JUNE 2015 Vol. 16 No. 2 (2014): DECEMBER 2014 Vol. 16 No. 1 (2014): JUNE 2014 Vol. 15 No. 2 (2013): DECEMBER 2013 Vol. 15 No. 1 (2013): JUNE 2013 Vol. 14 No. 2 (2012): DECEMBER 2012 Vol. 14 No. 1 (2012): JUNE 2012 Vol. 13 No. 2 (2011): DECEMBER 2011 Vol. 13 No. 1 (2011): JUNE 2011 Vol. 12 No. 2 (2010): DECEMBER 2010 Vol. 12 No. 1 (2010): JUNE 2010 Vol. 11 No. 2 (2009): DECEMBER 2009 Vol. 11 No. 1 (2009): JUNE 2009 Vol. 10 No. 2 (2008): DECEMBER 2008 Vol. 10 No. 1 (2008): JUNE 2008 Vol. 9 No. 2 (2007): DECEMBER 2007 Vol. 9 No. 1 (2007): JUNE 2007 Vol. 8 No. 2 (2006): DECEMBER 2006 Vol. 8 No. 1 (2006): JUNE 2006 Vol. 7 No. 2 (2005): DECEMBER 2005 Vol. 7 No. 1 (2005): JUNE 2005 Vol. 6 No. 2 (2004): DECEMBER 2004 Vol. 6 No. 1 (2004): JUNE 2004 Vol. 5 No. 2 (2003): DECEMBER 2003 Vol. 5 No. 1 (2003): JUNE 2003 Vol. 4 No. 2 (2002): DECEMBER 2002 Vol. 4 No. 1 (2002): JUNE 2002 Vol. 3 No. 2 (2001): DESEMBER 2001 Vol. 3 No. 1 (2001): JUNE 2001 Vol. 2 No. 2 (2000): DESEMBER 2000 Vol. 2 No. 1 (2000): JUNE 2000 Vol. 1 No. 1 (1999): JUNE 1999 More Issue