Garuda - Garba Rujukan Digital

All

Jurnal Teknik Industri

industri
Website

Published by Universitas Muhammadiyah Malang

ISSN : 19781431 EISSN : 25274112 DOI : -

Core Subject : Economy, Science, Engineering,

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering

Dr. Saiful Anwar Malang is a state hospital has done it is job and function, but in 3rd class of pavilion room, the number of patient decrease dramatically. It is concerned with quality of this hospital. To answer this problem, research was done using Quality Function Deployment (QFD). Quality Function Deployment is a tool which design some needs include customers represented as a voice of customer and including some competitions and also groups some activities that usually called affinity graphic ang getting a benchmarking for it is competition. From the result analysis can be showed that main attribute for patience is a accuracy. And from House Of Quality can be found that getting a periodic meeting to evaluate this hospital and also increase a service can be made 20 concept

Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Strategi dan Menejemen

Articles 717 Documents

34 35 36 37 38

Mathematical Models of Energy-Conscious Bi-Objective Unrelated Parallel Machine Scheduling Bobby Kurniawan
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

The industrialization has led to the prosperity of human life. However, it causes the side effect that harms the environment. Moreover, the source of energy used to drive the industrialization comes from non-renewable resources that can be extinct. As the extensive energy user, the manufacturing sector can use energy efficiently by scheduling and planning. A scheduling system that incorporates environmental and the energy consumption is one of the initiatives to reduce energy consumption and reduce environmental effects. Therefore, this study addresses bi-objective unrelated parallel machine scheduling to minimize the total tardiness and energy consumption. The energy consumption follows the Time-Of-Use (TOU) tariffs price scheme. The problem is formulated as two mixed-integer programming (MIP) models, using the time-indexed and disjunctive formulation, and solved using the weighted sum method. We perform complexity and computational analysis to evaluate the performance of models. Numerical experiments show that the time-indexed formulation is more efficient than the disjunctive formulation. The results provide useful insights for decision-makers in the manufacturing sectors to be energy-conscious without neglecting the production efficiency.

Cost Minimization Policy for Manufacturer in a Supply Chain Management System with Two Rates of Production under Inflationary Condition Sujata Saha; Tripti Chakrabarti
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

This article presents a production inventory model for deteriorating goods with two different rates of production. The manufacturer starts manufacturing the items at a lower rate to avoid a huge investment at the initial stage and reduce the products' holding cost. However, when the stock level reaches a prefixed level, he switches on to a higher production rate to avoid shortage caused by an insufficient stock of the items. Moreover, the impact of inflation and the time value of money on the manufacturing system’s cost is considered here, which harms any business by reducing the value of an investment with time. We determined the optimum production times at both the low and high production rates by minimizing the system's total cost. Numerical examples illustrated the applicability of this proposed model. Sensitivity analysis studied the effect of changes in the parameters associated with this model on the optimal decision variables. This numerical experiment was done in LINGO 18.0 software. Results showed that the production strategy taken by the manufacturer helped reduce his total cost.

Reduction in Rejection Rate of Soy Sauce Packaging via Six Sigma Ronald Sukwadi; Leonardus Harijanto; M.M. Wahyuni Inderawati; Po Tsang B. Huang
Jurnal Teknik Industri Vol. 22 No. 1 (2021): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

The Six Sigma methodology is the most powerful quality improvement technique. This research deals with applying the Six Sigma methodology in reducing the rejection rate of soy sauce packaging in food production. The DMAIC methodology of Six Sigma provides a step-by-step quality improvement methodology in which statistical techniques are applied. The leakage and cutting error problems were identified in the Define phase. The extent of the problem was measured in the Measure phase. The current DPMO value was 5,794.39, and the sigma level at 4.0245. The root cause of the problem and the improvement priority were identified in the Analyze phase by applying the fishbone diagram and FMEA. The design of new Standard Operating Procedures (SOPs) and preventive maintenance schedule were used in the Improve phase to increase the sigma level by 50-60 percent and decrease DPMO by 99 percent for the upcoming four months implementation. Furthermore, a control plan was provided in the Control phase to monitor and sustain the achieved improvements.

Integrated Procurement-Production Inventory Model with Two-Stage Production Dana Marsetiya Utama; Heri Mujayin Kholik; Azis Fredy Mulya
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

The inventory-production system concerns the effective management of the goods flows from raw materials to finished products. The Integrated Procurement-Production (IPP) system consists of many elements that must be managed effectively. The problem will be more complex if it involves deciding on the number of delivery frequencies at the retailer level. In this case, the Integrated Procurement-Production's objective function depends on the frequency of raw material shipments, the frequency of delivery of finished products, and the production cycle time. This study aims to develop an IPP system to maximize total profit. The decision variables used are the frequency of raw material delivery, the frequency of delivery of finished products, and the production cycle time. This study proposes the Dragonfly Algorithm (DA) as an algorithm for problem-solving. Dragonfly Algorithm is used to find the best inventory decision variables. This study conducted experiments with various iteration parameters and DA population. The results showed that the greater the iteration and the population used, the greater the profit. A sensitivity analysis of decision variables is also presented in this investigation.

An Improved Genetic Algorithm for Vehicle Routing Problem Pick-up and Delivery with Time Windows Muhammad Faisal Ibrahim; M.M Putri; D Farista; Dana Marsetiya Utama
Jurnal Teknik Industri Vol. 22 No. 1 (2021): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Vehicle Routing Problem (VRP) has many applications in real systems, especially in distribution and transportation. The optimal determination of vehicle routes impacts increasing economic interests. This research aims to find the optimal solution in Vehicle Routing Problem Pick-up and Delivery with Time Windows (VRPPDTW). Targets of this problem included reducing distance travel and penalties. Three penalties that were considered are a capacity penalty, opening time capacity, and closing time capacity. An improved genetic algorithm was developed and used to determine the vehicle route. There were one main depot and 42 customers. This research raised the problem of a shipping and logistics company. Analysis of the results showed that the proposed route obtained from improved genetic algorithms (GA) was better than the existing route and previous algorithm. Besides, this research was carried out an analysis on the effect of the number of iterations on distance traveled, the number of penalties, and the fitness value. This algorithm could be applied in VRPPDTW and produces an optimal solution.

Reduce Waste using Integration of Lean Six Sigma and TRIZ Method: A Case Study in Wood Industry Dian Hadi Purnomo; Muhammad Lukman
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Recently, lean production has become a major focus of researchers and industry. The zero-waste concept holds an important role in the production process. The aim of this concept is to reduce waste and increase productivity. Wastes have significant negative impacts on the company, one of which is the decrease of company profit. This research aimed to integrate the Lean Six Sigma method with Teorya Resheniya Izobreatatelskikh Zadatch (TRIZ) in order to reduce wastes. These two methods were applied with Define-Measure-Analyze-Improve-Control(DMAIC) methodology. A case study was conducted in a wood manufacturing company. The results of the study suggest that the application of the two methods can significantly reduce the Non-value Added (NVA).

The Effect of Logistical-Crossfunctional Drivers on the Competitive Strategy of the Supply Chain of SMEs: A Case Study Sumarsono sumarsono; Nur Muflihah
Jurnal Teknik Industri Vol. 22 No. 1 (2021): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Small and Medium Enterprises (SMEs) dominate the business world in Indonesia with a high Gross Domestic Product contribution. However, SMEs are unable to compete with large industries due to uncompetitive supply chains. The logistical-crossfunctional aspect of drivers is an aspect driving a competitive supply chain. This study aims to examine the effect of logistical-crossfunctional drivers on the competitive strategy of the supply chain for SMEs in Indonesia. The case study was conducted in SMEs scattered in East Java, Indonesia. The data analysis method used PLS-SEM. The results showed that the logistical-crossfunctional aspects of SME drivers have a significant effect on the supply chain competitive strategy. The implications of the research results are used to develop supply chain strategies for SMEs with a priority scale of logistical-crossfunctional drivers such as 1) facilities; 2) sourcing; 3) information; 4) transportation; 5) inventory; and 6) pricing.

Model of Flexible Periodic Vehicle Routing Problem-Service Choice Considering Inventory Status Muhammad Alde Rizal; Ifa Saidatuningtyas
Jurnal Teknik Industri Vol. 22 No. 1 (2021): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Vehicle routing problems and inventory problems need to be integrated in order to improve performance. This research discusses the determination of vehicle routes for product delivery with periodic delivery times that are released at any time depending on the inventory status. A mixed-integer linear programming model in determining periodic flexible visiting vehicles' route considering inventory is proposed to solve this problem. This model also accommodates time window constraints, retailer warehouse capacity. The search for solutions was carried out using the branch-and-bound method with the help of Lingo 18.0. The mathematical model testing result saves shipping costs and inventory costs. In addition, the developing mathematical model offers the flexibility of visiting depending on the inventory status of the consumer. The sensitivity analysis of the model results in the vehicle capacity influence the total cost and routes formed.

Integrated Inventory Model for Single Vendor Multi-Buyer with a Single Item by Considering Warehouse and Capital Constraint Agustiandi Agustiandi; Yoon Mac Kinley Aritonang; Cherish Rikardo
Jurnal Teknik Industri Vol. 22 No. 1 (2021): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Integrated inventory management coordinates all party's replenishment policies to provide optimal benefits. Many models have been developed, but none of them have considered capital and warehouse constraints comprehensively. It may cause the model which cannot be applied, since it has exceeded the capacity. This study developed an integrated inventory model that consisted of one vendor, multi-buyer, and one type of item. The main objective was to minimize the joint total expected cost by considering warehouse, capital, and service level constraint. The optimal formula was constructed by using the Lagrange multipliers method. The results showed that with an increment in holding cost, the vendor tends to reduce lot size to minimize joint total expected cost. It is vice versa to the increment in set up cost. An increment in buyer service level can increase lot size and reduce order frequency. The buyer capacity is essential to determine its capability to apply the optimal replenishment policy.

Energy-Aware Scheduling in Hybrid Flow Shop using Firefly Algorithm Ahmed Nedal Abid Al Kareem Jabari; Afif Hasan
Jurnal Teknik Industri Vol. 22 No. 1 (2021): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Nowadays, the industrial sector takes up a significant portion of the world's total energy consumption. This sector is responsible for half of the total energy consumed in the world. Therefore, efficiency in the industrial sector becomes an essential issue. One of the main factors triggering the high energy consumption in this sector is that many machines are left idle. Idle machines during the manufacturing process require electricity and other energies. This research aimed to develop a firefly algorithm that can minimize the energy consumption in the hybrid flow shop scheduling problem. This algorithm is used to determine the optimum order of the jobs. The ultimate goal is to minimize energy consumption. The experiment on the algorithm was conducted by employing iteration and population variations. The research results show that population and iteration affect the quality of the hybrid flow shop scheduling solution.

Page 36 of 72 | Total Record : 717

34 35 36 37 38

Filter by Year

2000 2024

Filter By Issues

All Issue Vol. 25 No. 2 (2024): August Vol. 25 No. 1 (2024): February Vol. 24 No. 2 (2023): August Vol. 24 No. 1 (2023): February Vol. 23 No. 2 (2022): August Vol. 23 No. 1 (2022): February Vol. 22 No. 2 (2021): August Vol. 22 No. 1 (2021): February Vol. 21 No. 2 (2020): August Vol. 21 No. 1 (2020): February Vol 21, No 1 (2020): February Vol 20, No 2 (2019): August Vol. 20 No. 2 (2019): August Vol 20, No 1 (2019): February Vol. 20 No. 1 (2019): February Vol 19, No 2 (2018): Agustus Vol. 19 No. 2 (2018): Agustus Vol. 19 No. 1 (2018): Februari Vol 19, No 1 (2018): Februari Vol 18, No 2 (2017): Agustus Vol. 18 No. 2 (2017): Agustus Vol 18, No 1 (2017): Februari Vol. 18 No. 1 (2017): Februari Vol. 17 No. 2 (2016): Agustus Vol 17, No 2 (2016): Agustus Vol. 17 No. 1 (2016): Februari Vol 17, No 1 (2016): Februari Vol 16, No 2 (2015): Agustus Vol. 16 No. 2 (2015): Agustus Vol. 16 No. 1 (2015): Februari Vol 16, No 1 (2015): Februari Vol 15, No 2 (2014): Agustus Vol. 15 No. 2 (2014): Agustus Vol. 15 No. 1 (2014): Februari Vol 15, No 1 (2014): Februari Vol. 14 No. 2 (2013): Agustus Vol 14, No 2 (2013): Agustus Vol. 13 No. 2 (2012): Agustus Vol 13, No 2 (2012): Agustus Vol 13, No 1 (2012): Februari Vol. 13 No. 1 (2012): Februari Vol 12, No 2 (2011): Agustus Vol. 12 No. 2 (2011): Agustus Vol 12, No 1 (2011): Februari Vol. 12 No. 1 (2011): Februari Vol 11, No 2 (2010): Agustus Vol. 11 No. 2 (2010): Agustus Vol. 11 No. 1 (2010): Februari Vol 11, No 1 (2010): Februari Vol 10, No 2 (2009): Agustus Vol. 10 No. 2 (2009): Agustus Vol. 10 No. 1 (2009): Februari Vol 10, No 1 (2009): Februari Vol 9, No 2 (2008): Agustus Vol. 9 No. 2 (2008): Agustus Vol. 9 No. 1 (2008): Februari Vol 9, No 1 (2008): Februari Vol. 8 No. 2 (2007): Agustus Vol 8, No 2 (2007): Agustus Vol 8, No 1 (2007): Februari Vol. 8 No. 1 (2007): Februari Vol. 4 No. 2 (2003) Vol 4, No 2 (2003) Vol. 3 No. 2 (2002) Vol 3, No 2 (2002) Vol 3, No 1 (2002) Vol. 3 No. 1 (2002) Vol 2, No 2 (2001) Vol. 2 No. 2 (2001) Vol 2, No 1 (2001) Vol. 2 No. 1 (2001) Vol. 1 No. 2 (2000) Vol 1, No 2 (2000) Vol 1, No 1 (2000) Vol. 1 No. 1 (2000) More Issue

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Sugeng Santoso

Contact Email
sugeng.santoso@mercubuana.ac.id

Phone
+6282132044774

Journal Mail Official
ti.jurnal@umm.ac.id

Editorial Address
Departement Industrial Engineering University of Muhammadiyah Malang Jl. Tlogomas No 246 Malang

Location
Kota malang,

Jawa timur

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Sugeng Santoso

Contact Email sugeng.santoso@mercubuana.ac.id

Phone +6282132044774

Journal Mail Official ti.jurnal@umm.ac.id

Editorial Address Departement Industrial Engineering University of Muhammadiyah Malang Jl. Tlogomas No 246 Malang

Location Kota malang, Jawa timur INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Sugeng Santoso

Contact Email
sugeng.santoso@mercubuana.ac.id

Phone
+6282132044774

Journal Mail Official
ti.jurnal@umm.ac.id

Editorial Address
Departement Industrial Engineering University of Muhammadiyah Malang Jl. Tlogomas No 246 Malang

Location
Kota malang,

Jawa timur

INDONESIA