eng
University of Hormozgan
International Journal of Industrial Engineering and Management Science
2409-1871
2018-06-01
5
1
41
48
82115
Original Article
Improve Integration Using Contracts, Case Study: Rail Infrastructure
Anisur Rahman
1
Gopinath Chattopadhyay
2
Griffith School of Engineering, Griffith University Gold
Faculty of Science, Engineering and Health CQUniversity Australia
Maintenance contracts have received significant attention in last ten years. It has huge potential to reduce theupfront investments in maintenance infrastructure, specialised maintenance facilities, and risk for owners throughexpert services provided by the original equipment manufacturers and/ or specialist maintenance providers. There isa growing trend for asset intensive Industries to outsource the maintenance services of their complex and criticalasset through maintenance contracts due to economic pressure and technical complexities not within the capabilityof the owner/ user. One of the complex and critical assets in transport infrastructure is rail. To maintain reliableservice through safe and uninterrupted rail operation maintenance contracts are currently being used as a costeffective option. However, there is a need to develop mathematical cost models to build into the contract price. Inthis paper, a conceptual rail maintenance contract model is proposed for estimating cost of outsourcing maintenancethat takes into account cost of maintenance, inspection and risk of accidental failure.
https://www.ijiems.com/article_82115_d41d8cd98f00b204e9800998ecf8427e.pdf
Maintenance contract
rail maintenance
cost model
eng
University of Hormozgan
International Journal of Industrial Engineering and Management Science
2409-1871
2018-06-01
5
1
49
57
82116
Original Article
Presenting A DSS Based Simulation for Maintenance and Vehicles Repair Problem
Arshed Mehmood
1
Mirza Jahanzaib
2
Mechanical Engineering Department UET, Taxila, Pakistan
College of Engineering, Qassim University, Saudi Arabia
Maintenance support system is formed by all the needed support resources which are related and coordinatedbetween each other to achieve certain objectives such as operational availability of the supported object during itslife cycle. This paper describes the decision support system using simulation in the dynamic environment of vehiclesrepair and maintenance. The study illustrates a case relevant to repair and maintenance decision support system, inwhich different feasible scenarios has been modeled and modules developed for the analysis and improvement of theexisting system. This is done by process mapping of the existing systems and modeling of the existing system insimulation language. Various feasible alternatives illuminated a pathway to significant improvements in customerservice, management of work in process, resource utilization, over time and cycle time. It has been learnt that WIPand overtime are the major impediments in the system affecting the performance of the system which can becontrolled by suggesting feasible alternatives.
https://www.ijiems.com/article_82116_e720eee4905065d3bf8beff945b08a3b.pdf
Automotive Repair Analysis
Decision support system
Process Management
Repair and Maintenance Support System
Resource Utilization
eng
University of Hormozgan
International Journal of Industrial Engineering and Management Science
2409-1871
2018-06-01
5
1
34
40
82117
Original Article
Flexibility Challenges in Automotive Assembly, An Approach to Stay Competitive
Björn Diffner
1
Mats Björkman
2
Kerstin Johansen
3
Department of Management & Engineering Linköping University, Linköping
Department of Management & Engineering Linköping University, Linköping
Department of Management & Engineering Linköping University, Linköping
The undergoing adaptation of mass customization, alongside the development and demand for new power trains, is challenging themanufacturing system of automotive manufacturers. This, in combination with demands from emerging markets and constantlydecreasing product lifecycles, calls for increased flexibility. Based on the research findings, key flexibility types for the automotiveindustry were identified as Mix, New Product, Modification and Volume flexibility. To achieve these flexibilities, the mixed modelassembly, modularity and platform strategies are identified as important factors. A generic BOP as part of the platform strategy iscentral to enable transferring of production
https://www.ijiems.com/article_82117_e2fab846fc05deb26e65fd08a75e96b8.pdf
Automotive
flexibility
mixed model assembly
platform
Modularity
eng
University of Hormozgan
International Journal of Industrial Engineering and Management Science
2409-1871
2018-06-01
5
1
25
33
82118
Original Article
Applying 3D Computer Graphics to Design of Automated Assembly Lines
Masatoshi Kitaoka
1
Toshio Fujita
2
Hideki Kumagai
3
Hitoshi Takeda
4
Department of Industrial Engineering
Department of Industrial Engineering
Department of Industrial Engineering
Department of Information Management Bunkyo University, Chigasaki, Kanagawa
This paper proposed the design method for an automated assembly lines, for carrying out basic design using threedimensional computer graphics (3DCG).It also proposes a method for performing kaizen and evaluation ofautomated systems utilizing hierarchic structure diagrams, state transition diagrams, improved tooling flowdiagrams, a method for creating a Ladder Logic Diagram(LLD).Using a time Petri net, analyze the bottleneckprocess, identify problem points, and propose ideas for kaizen.
https://www.ijiems.com/article_82118_68c82cd25fa7eecd7c7adfcaebc7a4d5.pdf
Kaizen
Three-dimensional computer graphics (3DCG)
Timed Petri net
hierarchic structure diagrams
ladder diagrams
AHP
eng
University of Hormozgan
International Journal of Industrial Engineering and Management Science
2409-1871
2018-06-01
5
1
14
20
82119
Original Article
A New Bayesian-Based Model to Demand Forecast and Inventory Reduction
Mohammad Anwar Rahman
1
Bhaba R. Sarker
2
Industrial Engineering Technology, The University of Southern Mississippi
Department of Industrial Engineering Louisiana State University
Natural calamities (e.g., hurricane, excessive ice-fall) may often impede the inventory replenishment during thepeak sale season. Due to the extreme situations, sales may not occur and demand may not be recorded. This studyfocuses on forecasting of intermittent seasonal demand by taking random demand with a proportion of zero valuesin the peak sale season. Demand pattern for a regular time is identified using the seasonal ARIMA (S-ARIMA)model. The study proposes a Bayesian procedure to the ARIMA (BS-ARIMA) model to forecast the peak seasondemand which uses a dummy variable to account for the past years intermittent demand. To capture uncertainty inthe B-ARIMA model, the non-informative prior distributions are assumed for each parameter. Bayesian updating isperformed by Markov Chain Monte Carlo simulation through the Gibbs sampler algorithm. A dynamicprogramming algorithm under periodic review inventory policy is applied to derive the inventory costs. The modelis tested using partial demand of seasonal apparel product in the US during 1996-05, collected from the US CensusBureau. Results showed that, for intermittent seasonal demand forecast, the BS-ARIMA model performs better andminimizes inventory costs than do S-ARIMA and modified Holt-Winters exponential smoothing method.
https://www.ijiems.com/article_82119_50f76d02be72fdc9e8eeca2b2c1903f3.pdf
bayesian model
Demand forecasting
Inventory management
eng
University of Hormozgan
International Journal of Industrial Engineering and Management Science
2409-1871
2018-06-01
5
1
20
25
82120
Original Article
A Statistical Approach to Determine Efficient Fouling Index
Junya Miyamoto
1
Kozo Nakamura
2
Tsuyoshi Nakamura
3
Graduate School of Science and Technology Nagasaki University, Nagasaki
Graduate School of Science and Technology Nagasaki University, Nagasaki
Graduate School of Science and Technology Nagasaki University, Nagasaki
Desalination using a reverse osmosis (RO) membrane is a complex process that requires preventive maintenance to control the fouling potential of feed water for long-term successful operation. Fouling is caused by scaling, bacterial growth, or the deposition of suspended or dissolved substances. The widely accepted measure of the fouling potential is the silt density index (SDI). We conducted filtering experiments under diverse conditions to gain new insight into the performance and deficiencies of the SDI from a statistical point of view. Based on the results, we developed a new fouling index that is more reliable and feasible than the SDI.
https://www.ijiems.com/article_82120_dc820154e77ccb6be85c81427078b904.pdf
SDI
permeation coefficient
Fouling
Desalination
statistical analysis
eng
University of Hormozgan
International Journal of Industrial Engineering and Management Science
2409-1871
2018-06-01
5
1
8
14
82121
Original Article
A Conceptual Model For Collaborative Commerce Technologies Adoption
Alain Y.L Chong
1
Felix T.S Chan
2
Keng Boon Ooi
3
Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
Faculty of Business & Finance, University Tunku Abdul Rahman, Jalan University, Bandar Barat, 31900, Kampar, Perak, Malaysia
The principle objective of this research is to develop a conceptual model to study the relationships betweencollaborative commerce tools adoption, collaborative supply chain implementations, service innovations and thecompetitive advantages gained by manufacturing companies in Hong Kong/China and Malaysia. One challenge forgovernments in these countries is to ensure that their manufacturing industry remains competitive globally. Thispaper presents the first stage of our study which aims to develop a conceptual model which will then be empiricallytested to formulate strategies that companies and government in Hong Kong/China and Malaysia can use to improvetheir competitiveness. This study aims to bridge the gap in the existing studies in innovation and supply chainmanagement by firstly focusing on collaboration in supply chain management, and secondly in the service.
https://www.ijiems.com/article_82121_a8fdf8309806ad0ca5ce1b54cc922a93.pdf
Service Innovation
Collaborative Supply Chain Management
competitive advantages
eng
University of Hormozgan
International Journal of Industrial Engineering and Management Science
2409-1871
2018-06-01
5
1
58
64
82122
Original Article
Using Fuzzy Set Theory to Ranking Items Case Study: Bangladeshi Coals
Muhammad Shamsuzzaman
1
Fikri Dweiri
2
A.M.M. Sharif Ullah
3
Department of Industrial Engineering and Management University of Sharjah
Department of Industrial Engineering and Management University of Sharjah
Department of Mechanical Engineering Kitami Institute of Technology, Kitami, Hokkaido, Japan
This study develops a computational framework for ranking Bangladeshi coals for industrial use based on fuzzy settheory. The ranking process considers coal quality parameters (known as selection or ranking criteria) such assulphur content (ultimate analysis), fixed carbon, volatile matter, moisture content, and ash content (proximateanalysis) and calorific value. The selection criteria are fuzzified according to expert’s opinion and the rangesprescribed in literature. Fuzzy sets are employed to recognize the importance of the selection criteria. Finally,Yager’s fuzzy multi-criteria decision-making approach with min-max aggregator is employed to get the best-rankedcoal. Based on the proposed methodology, a software system is developed to facilitate the decision-making process.
https://www.ijiems.com/article_82122_8ad71289503b6bf7408241054ae77868.pdf
Multi-Criteria Decision-Making
Fuzzy Sets
Coal quality
Bangladeshi coal
eng
University of Hormozgan
International Journal of Industrial Engineering and Management Science
2409-1871
2018-06-01
5
1
57
70
82123
Original Article
Developing a mathematical model based on compaction reduction to optimize inventory policies in poultry farming
Ebrahim Teimoury
1
Mohammadhosein Babaei
editor@ijiems.com
2
Armin Jabbarzadeh
3
Associate Professor, Iran University of Science and Technology, Tehran, Iran
Ph.D. Candidate, Iran University of Science and Technology
Assistant Professor, Iran University of Science and Technology
Purpose: One of the major concerns of production managers is to increase profit by increasing production volumes. In most production units, an increase in production volume is achieved by increasing production capacity. However, in the livestock production units, one can adopt a different policy called "compaction reduction". In this approach, given that the capacity of living production units is often in accordance with a standard volume and the living organism occupies less space at the earlier ages, each breeding period can begin with more living units than capacity, and after a given period, some of them can be slaughtered.
Design/methodology/approach: This paper presents a mathematical model for optimizing compaction operations in meat poultry production units so that it is possible to calculate the various variables of the compaction process, such as the appropriate slaughter time and the number of breeding chicks over capacity.
Findings: Computational study shows the efficiency of this approach and increase the volume of production and profit compared to the traditional approach and not utilizing compaction.
Originality/value: Although livestock supply chain and related problems are one of the most important problems in human life, few researchers have focused on them. In this paper poultry farming is considered as one of the most important livestock inventory and a mathematical model is developed to improve total profit.
https://www.ijiems.com/article_82123_d607227c35751158444dfc0293eaa27a.pdf
Poultryfarmj
Stocking density
Livestock Inventory
Mathematical Modelling
Compaction Reduction