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Jurnal Teknik Industri

industri
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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 10 Documents

Search results for , issue "Vol. 22 No. 1 (2021): February" : 10 Documents clear

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.

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.

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.

Selection of Material Handling Equipment using the AHP and MOORA Sule I Satoglu; İbrahim Türkekul
Jurnal Teknik Industri Vol. 22 No. 1 (2021): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Choosing the best Material Handling Equipment (MHE) is an aspect that needs to be considered in the industrial sector because the amount of capital involved in the procurement process is very large. Many substantial factors influence the MHE selection process. One popular approach was chosen to resolve the MHE selection issue. The concept of Multi-Criteria Decision Making (MCDM) is popularly used because it can solve and handle conflicting components in the MHE selection process. This study proposes the Analytical Hierarchy Process (AHP) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) procedures in MHE selection. AHP is proposed to weigh the MHE selection criteria. MOORA is proposed to compute the rankings of the MHE alternatives. Case studies are applied to this problem. The results show that the cost criterion gives the greatest weight in selecting MHE. Other than that, Of the five selected MHE alternatives, Hand Pallet Truck is the MHE that has the best rating.

Completion of FCVRP using Hybrid Particle Swarm Optimization Algorithm Muhammad Ali; Baiq Nurul Izzah Farida
Jurnal Teknik Industri Vol. 22 No. 1 (2021): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

The issue of green logistics has received full attention from the government and business people. It is closely related to the increase in Green House Gas (GHG) by transportation activities in the logistics sector. Controlling fuel consumption in transportation activities is fundamental in dealing with GHG. Therefore, the Fuel Consumption Vehicle Routing Problem (FCVRP) is proposed as a solution model in optimizing fuel consumption in the logistics sector. This study aims to develop a Hybrid Particle Swarm Optimization (HPSO) algorithm to solve the FCVRP problem. The proposed algorithm is the development of the PSO algorithm with local procedures search. Several experiments were carried out to determine the HPSO parameter's effect on minimizing fuel consumption in the FCVRP. The experiment results show that increasing the population and iteration parameters can produce minimum fuel consumption. Furthermore, the smaller the total fuel consumption produced when the kilometers per liter (KPL) high.

Measurement of Customer Perceptions of Logistics Service Quality Babatunde Enitan Ogunnowo; Salami Suberu Sule
Jurnal Teknik Industri Vol. 22 No. 1 (2021): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Currently, logistics service providers experience a high increase in activity. It makes logistics service providers compete with each other in service quality. To be able to compete, logistics service providers need to measure customer perceptions on logistics service satisfaction. The results of measuring customer perceptions can be used to improve the quality of logistics services. This study attempted to measure customer perceptions of third-party logistics (3PL) service users by considering competitor performance factors. This study integrated the Customer Satisfaction Index (CSI) method and the Competitive Zone of Tolerance based Importance Performance Analysis (CZIPA) method to measure customer perceptions and determine the priority attributes for improvement account competitors' performance factors. Based on the research, the CSI method was proven to measure customer perceptions of 3PL service users. CZIPA can determine the attributes that were prioritized for improvement based on the performance of competitors.

Integration of Rough SWARA and COPRAS in the Performance Evaluation of Third-Party Logistics Providers Elya Rosiana; Annisa Kesy Garside; Ikhlasul Amallynda
Jurnal Teknik Industri Vol. 22 No. 1 (2021): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Currently, the use of logistics service providers in companies has become a decision chosen by several companies. Companies use Third Party Logistics (3PL) to focus more on other essential activities in the company. Evaluating the performance of a 3PL provider is an essential process in determining performance of a 3PL provider. A wrong evaluation process could lead to company’s loss. The main objective of this study was to propose a 3PL performance appraisal procedure. This study integrated the Rough method Step-wise Weight Assessment Ratio Analysis (SWARA) and the Complex Proportional Assessment Method (COPRAS) to assess the performance of 3PL providers. The SWARA Rough method was used to assess the ranking of the criteria. The results of the Rough SWARA ranking were utilized by the COPRAS method to assess supplier performance. A case study was conducted in an animal feed production company in Indonesia. The results showed that there were criteria for product safety; on-time delivery, responsiveness, and flexibility with the greatest weight among the 16 criteria used.

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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

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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