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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. 21 No. 2 (2020): August" : 10 Documents clear

Robust Design of Spaghetti Products based on Consumer Needs Nur Kartika Indah Mayasti; Mirwan Ushada; Makmudun Ainuri
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

To produce competitive advantage, a product has to be designed according to the criteria of consumer needs. The results of identifying consumer needs become technical requirements and target specifications in robust product design. The purpose of this research was to propose a robust design of gluten-free spaghetti product concept using the Taguchi method. The selection of factors and experimental levels utilized the zero one matrix and the evaluation matrix. The results showed that the priority quality attributes required by consumers include good product display, nutrition, acceptable taste, competitive prices, and made from local ingredients. Product specifications that are targeted at product quality are closer to commercial spaghetti products. Based on the experimental design, four factors and three levels with an orthogonal matrix (Taguchi) L9 (34) resulted in 9 product concepts. The selected concept has confirmed the quality of its spaghetti products.

A Design to Improve the Quality of OVO Electronic Money Payment Services in Tokopedia using IPA and PGCV Eki Septiani; Eko Pujiyanto; Muhammad Hisjam
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Currently, many online payment applications have sprung up in the community. This requires online payment application providers to compete in providing the best service for the community. This study aims to design an increase in the service quality of the OVO online payment application in Indonesia. This research applied Importance Performance Analysis (IPA) and Potential Gain in Customer Value (PGCV) methods to map the performance of service attributes and determine the priority service attributes for improvement. Based on the research conducted, the use of IPA and PGCV methods has been successfully utilized to map the performance of service attributes and determine priority attributes that should be improved.

Location Routing Problem with Consideration of CO2 Emissions Cost: A Case Study Ananda Noor Sholichah; Y Yuniaristanto; I Wayan Suletra
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Location and routing are the main critical problems investigated in a logistic. Location-Routing Problem (LRP) involves determining the location of facilities and vehicle routes to supply customer's demands. Determination of depots as distribution centers is one of the problems in LRP. In LRP, carbon emissions need to be considered because these problems cause global warming and climate change. In this paper, a new mathematical model for LRP considering CO2 emissions minimization is proposed. This study developed a new Mixed Integer Linear Programming (MILP) model for LRP with time windows and considered the environmental impacts. Finally, a case study was conducted in the province of Central Java, Indonesia. In this case study, there are three depot candidates. The study results indicated that using this method in existing conditions and constraints provides a more optimal solution than the company's actual route. A sensitivity analysis was also carried out in this case study.

Multi-Objective Optimization Model of Multi-Pass Turning Operations to Minimize Energy, Carbon Emissions, and Production Costs Aprilia Dityarini; Eko Pujiyanto; I Wayan Suletra
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Sustainable manufacturing aspects are environmental, economic, and social. These aspects can be applied to an optimization model in the machining process. An optimization model is needed to determine the optimum cutting parameters. This research develops a multi-objective optimization model that can optimize cutting parameters on a multi-pass turning. Decision variables are cutting parameters multi-pass turning. This research has three objective functions for minimizing energy, carbon emissions, and costs. Three functions are searched for optimal values using the GEKKO. A numerical example is given to show the implementation of the model and solved using GEKKO and Interior Point Optimizer (IPOPT). The results of optimization indicate that the model can be used to optimize the cutting parameters.

Mixed-Integer Linear Programming Model for Production Planning: A Case Study at Sawn Timber Production Octavia Riskadayanti; Muhammad Hisjam; Y Yuniaristanto
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

The sawmill industry is an industry that processes logs into sawn timber products through several processes to maximize profits and meet customer demand. The process involves essential operations that have to be coordinated to get the desired product with the available resources optimally. Efficient operations can be achieved through optimal production planning by considering some factors to optimize the number of sawn timber product combinations. Optimal production planning is expected to have an impact, such as reducing the use of raw materials that can affect inventory and procurement. In this research, the author has developed a mathematical model for production planning to determine the optimal number of sawn timber product combinations. Problems were solved using mixed-integer linear programming methods with mathematical modeling that aimed for maximizing profit. Production costs, raw material costs, and purchasing costs were critically considered in this mathematical modeling. The result showed that using the developed model could integrate the factors above, fulfill the demand, and increase company income.

The Model for Location Routing Problem with Roaming Delivery Locations Stefanus Ivan Laksono; Y. M. Kinley Aritonang; Julius Dharma Lesmono
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

The Location Routing Problem with Roaming Delivery Locations (LRPRDL) is a model that represents company activities in delivering products to final customers. Direct delivery to final customers has increased significantly over the growth of e-commerce in the world. E-commerce or business-to-customer companies are urged to increase their last-mile distribution efficiency to survive in the global competition. For that purpose, the LRPRDL model was proposed to increase the efficiency of the company’s last-mile distribution. The model aims to minimize the sum of open depots and transportation costs by determining the number and location of depots and the shipping routes. The LRPRDL was implemented in an instance with four depot candidates, 15 customers, and six vehicles. The instance was solved to the optimality by using a public solver Gurobi. Furthermore, this research conducted a sensitivity analysis on the open depots and fuel costs, customer demand, and radius. The study indicated that customer’s demand and radius have a significant impact on the purchase decision.

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.

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.

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).

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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

Abstract

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Abstract

Abstract

Abstract

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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