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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 717 Documents

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The Discrete Particle Swarm Optimization Algorithms for Permutation Flowshop Scheduling Problem Ikhlasul Amallynda
Jurnal Teknik Industri Vol. 20 No. 2 (2019): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

In this paper, two types of discrete particle swarm optimization (DPSO) algorithms are presented to solve the Permutation Flow Shop Scheduling Problem (PFSP). We used criteria to minimize total earliness and total tardiness. The main contribution of this study was that a new position update method is developed based on the discrete domain because PFSP is represented as discrete job permutations. In addition, this article also comes with a simple case study to ensure that both the proposed algorithm can solve the problem well in a short computational time. Hybrid Discrete Particle Swarm Optimization (HDPSO) has a better performance than the Modified Particle Swarm Optimization (MPSO). The HDPSO produced the optimal solution. However, it has a slightly longer computation time. Besides, the population size and maximum iteration impact the quality of solutions produced by HDPSO and MPSO algorithms.

Purchasing Inventory Models for Deteriorating Items with Quadratic Demand C. K. Sivashankari
Jurnal Teknik Industri Vol. 20 No. 2 (2019): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

This paper deals with purchasing inventory replenishment policy for deteriorating items, considering the time-dependent quadratic demand and time-dependent backlogging. Two models were formulated and solved. First, it is for deteriorating items with quadratically time-dependent demand for deteriorating items. Second, quadratically time-dependent demand for deteriorating items and shortages. A mathematical model is developed to the fourth-order equation for each model. The optimal production lot size, which minimizes the total cost, is derived. Sensitivity analysis is carried out to demonstrate the effects of changing parameter values on the optimal solution of the system. Numerical examples are taken to illustrate the procedure of finding the optimal inventory cost, cycle time, and optimal lot size. The numerical experiment in this model was coded in Microsoft Visual Basic 6.0.

Integrated Green Supply Chain Model to Reduce Carbon Emission with Permissible Delay-in-Payment Consideration Muhammad Faisal Ibrahim; Maulin Masyito Putri
Jurnal Teknik Industri Vol. 20 No. 2 (2019): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

In practice, the policy of delaying payment periods is prevalent between players in a supply chain system. Generally, payments are made at the end of the permitted period. Supply chain management is one of the keys to corporate sustainability that the activities impact the environment. This paper aims to develop an integrated green supply chain model with a permissible delay in payment consideration. In this research, the author develops a mathematical model to find the effect of delay in payment on emissions costs without ignoring the economic performance of a supply chain. The author develops four different scenario models. Furthermore, numerical experiments and sensitivity analysis tests were conducted. The study results show that delay in payment is integrated into the supply chain system, which has a positive impact on reducing supply chain emissions costs.

Employee Performance Assessment using Analytical Network Process and Rating Scale Riska Septifani; Panji Deoranto; Tiyas Widya Armanda
Jurnal Teknik Industri Vol. 21 No. 1 (2020): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Employee performance assessment is an essential aspect of a company. This study aims to assess employee performance based on Analytical Network Process (ANP) and rating scale. ANP was employed to determine the importance of the criteria. Meanwhile, the rating scale was used to analyze the results of the employee performance assessment. The results of the study showed the weights of the criteria. The highest to lowest weights in sequence included the skills to carry out tasks, job performance, ability to cooperate, employment relationship, and personality. Based on the assessment of fifty-three employees of HRD and Corporate Secretary and General Counsel Department, one employee showed outstanding performance, four employees exemplified high performance, forty-five employees met the standard performance, and three employees had low performance.

A Model to Choose Hub and Route Determination Kevin Kevin; Y. M. Kinley Aritonang; Julius Dharma Lesmono
Jurnal Teknik Industri Vol. 20 No. 2 (2019): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Determining a transport hub is a strategic decision to build a good distribution flow. In this paper, We suggested a model for choosing hub locations as sources for companies. In previous studies, The determination of hub locations with a vehicle routing problem is not integrated. Therefore, this study built a model to assess the position of the hubs by considering the budget. The business should have a decision on vehicle routing with hubs to reduce total transport costs. In addition, the method of distribution of goods for hubs and non-hubs with third-party logistics was determined by the use of a vehicle routing problem. The optimal weight was obtained through the analysis of sensitivity. In the sensitivity analysis, this study found that the best choice in this study was to use a weight of 0.9–1.0. It provides the lowest total cost of transport.

Development of Artificial Neural Network Model for Estimation of Salt Fields Productivity Indra Cahyadi; Heri Awalul Ilhamsah; Ika Deefi Anna
Jurnal Teknik Industri Vol. 20 No. 2 (2019): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

In recent years, Indonesia needs import millions of tons of salt to satisfy domestic industries' demand. The production of salt in Indonesia is highly dependent on the weather. Therefore, this article aims to develop a prediction model by examining rainfall, humidity, and wind speed data to estimate salt production. In this research, Artificial Neural Network (ANN) method was used to develop a model based on data collected from Sumenep Madura Indonesia. The model analysis used the complete experimental factorial design to determine the effect of the ANN parameter differences. Furthermore, the selected model performance compared with the estimate predictor of Holt-Winters. The results presented that ANN-based models were more accurate and efficient for predicting salt field productivity.

A Cluster-First Route-Second Heuristic Approach to Solve The Multi-Trip Periodic Vehicle Routing Problem Annisa Kesy Garside; Nabila Rohmatul Laili
Jurnal Teknik Industri Vol. 20 No. 2 (2019): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

This paper discusses periodic vehicle routing problems that allow vehicles to travel on multiple trips in a single day. It is known as the Multi-Trip Periodic Vehicles (MTPVRP) Problem Route. Cluster-first route-second (CFRS) heuristics to solve MTPVRP was proposed in this study. In phase 1, customers were divided into clusters using the formulation of integer programming. Phase 2 determined the route of the cluster and verified that the total journey time to visit the trips does not exceed the working hours of the vehicle. Implementing the heuristic CFRS to solve the real problem faced by the Liquefied petroleum gas (LPG) distributor shows that the procedure could provide a better routing solution.

A Routing Model for Hybrid Hub-and-Spoke with Time Windows Felix Arya Gunadi; Dharma Lesmono; Kinley Aritonang
Jurnal Teknik Industri Vol. 21 No. 1 (2020): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Currently, the company competition is getting tighter. Distribution companies need to provide excellent service to their customers to maintain their competitiveness. Distribution service performance could be measured with lead time. However, Reducing lead times may increase costs. This problem could be solved using freight consolidation and reducing backhaul. Freight consolidation can be done by using a hub-and-spoke network with a combination of inbound and outbound distribution. This study developed a route model for hybrid hub-and-spoke with time windows. This model determined the routes for shipping goods to consumers and taking products to suppliers using the same vehicle to reduce the backhaul. This model also conducted freight consolidation at the hub. The decision variables in this model included the routes of delivery to consumers, the collection of goods at the suppliers, the number of products distributed through the hub and direct shipping, and the excellent distribution route. This model was implemented into the problems. Besides, a sensitivity analysis of the model was carried out.

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.

Integrated ANP and TOPSIS Method for Supplier Performance Assessment Christine Natalia; Ita Primsa Surbakti; Chendrasari Wahyu Oktavia
Jurnal Teknik Industri Vol. 21 No. 1 (2020): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

A supplier has become one of the main factors that influence a company's supply chain activities. Supplier assessment is vital as suppliers have different performance. This study aims at assessing supplier performance using the integration of ANP and TOPSIS methods. Supplier performance assessment was based on supplier criteria indicators. The weighting criteria used ANP was used to determine the most significant influence criteria of supplier performance. Furthermore, TOPSIS was also employed to obtain supplier preference. Eight criteria and twenty-five sub-criteria were used for the supplier performance assessment. The three highest sub-criteria were specification of quality, the flexibility of order changes, and production capacity. The priority results for suppliers were sorted from the highest to lowest ratio values.

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Sugeng Santoso

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Jawa timur

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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