University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 5 1 2018 06 01 Improve Integration Using Contracts, Case Study: Rail Infrastructure 41 48 82115 EN Anisur Rahman Griffith School of Engineering, Griffith University Gold Gopinath Chattopadhyay Faculty of Science, Engineering and Health CQUniversity Australia Journal Article 2018 01 24 Maintenance contracts have received significant attention in last ten years. It has huge potential to reduce the upfront investments in maintenance infrastructure, specialised maintenance facilities, and risk for owners through expert services provided by the original equipment manufacturers and/ or specialist maintenance providers. There is a growing trend for asset intensive Industries to outsource the maintenance services of their complex and critical asset through maintenance contracts due to economic pressure and technical complexities not within the capability of the owner/ user. One of the complex and critical assets in transport infrastructure is rail. To maintain reliable service through safe and uninterrupted rail operation maintenance contracts are currently being used as a cost effective option. However, there is a need to develop mathematical cost models to build into the contract price. In this paper, a conceptual rail maintenance contract model is proposed for estimating cost of outsourcing maintenance that takes into account cost of maintenance, inspection and risk of accidental failure.

University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 5 1 2018 06 01 Presenting A DSS Based Simulation for Maintenance and Vehicles Repair Problem 49 57 82116 EN Arshed Mehmood Mechanical Engineering Department UET, Taxila, Pakistan Mirza Jahanzaib College of Engineering, Qassim University, Saudi Arabia Journal Article 2019 01 24 Maintenance support system is formed by all the needed support resources which are related and coordinated between each other to achieve certain objectives such as operational availability of the supported object during its life cycle. This paper describes the decision support system using simulation in the dynamic environment of vehicles repair and maintenance. The study illustrates a case relevant to repair and maintenance decision support system, in which different feasible scenarios has been modeled and modules developed for the analysis and improvement of the existing system. This is done by process mapping of the existing systems and modeling of the existing system in simulation language. Various feasible alternatives illuminated a pathway to significant improvements in customer service, management of work in process, resource utilization, over time and cycle time. It has been learnt that WIP and overtime are the major impediments in the system affecting the performance of the system which can be controlled by suggesting feasible alternatives.

https://www.ijiems.com/article_82116_66740872ee5f52d527a8307f34d426d4.pdf

University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 5 1 2018 06 01 Flexibility Challenges in Automotive Assembly, An Approach to Stay Competitive 34 40 82117 EN Björn Diffner Department of Management & Engineering Linköping University, Linköping Mats Björkman Department of Management & Engineering Linköping University, Linköping Kerstin Johansen Department of Management & Engineering Linköping University, Linköping Journal Article 2019 01 24 The undergoing adaptation of mass customization, alongside the development and demand for new power trains, is challenging the manufacturing system of automotive manufacturers. This, in combination with demands from emerging markets and constantly decreasing product lifecycles, calls for increased flexibility. Based on the research findings, key flexibility types for the automotive industry were identified as Mix, New Product, Modification and Volume flexibility. To achieve these flexibilities, the mixed model assembly, modularity and platform strategies are identified as important factors. A generic BOP as part of the platform strategy is central to enable transferring of production

https://www.ijiems.com/article_82117_44386f4b9dd1e1b54d3934939379c1e9.pdf

University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 5 1 2018 06 01 Applying 3D Computer Graphics to Design of Automated Assembly Lines 25 33 82118 EN Masatoshi Kitaoka Department of Industrial Engineering Toshio Fujita Department of Industrial Engineering Hideki Kumagai Department of Industrial Engineering Hitoshi Takeda Department of Information Management Bunkyo University, Chigasaki, Kanagawa Journal Article 2019 01 24 This paper proposed the design method for an automated assembly lines, for carrying out basic design using three dimensional computer graphics (3DCG).It also proposes a method for performing kaizen and evaluation of automated systems utilizing hierarchic structure diagrams, state transition diagrams, improved tooling flow diagrams, a method for creating a Ladder Logic Diagram(LLD).Using a time Petri net, analyze the bottleneck process, identify problem points, and propose ideas for kaizen.

https://www.ijiems.com/article_82118_b5a6542105f9cc206d8cbdde0e1e6602.pdf

University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 5 1 2018 06 01 A New Bayesian-Based Model to Demand Forecast and Inventory Reduction 14 20 82119 EN Mohammad Anwar Rahman Industrial Engineering Technology, The University of Southern Mississippi Bhaba R. Sarker Department of Industrial Engineering Louisiana State University Journal Article 2019 01 24 Natural calamities (e.g., hurricane, excessive ice-fall) may often impede the inventory replenishment during the peak sale season. Due to the extreme situations, sales may not occur and demand may not be recorded. This study focuses on forecasting of intermittent seasonal demand by taking random demand with a proportion of zero values in 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 season demand which uses a dummy variable to account for the past years intermittent demand. To capture uncertainty in the B-ARIMA model, the non-informative prior distributions are assumed for each parameter. Bayesian updating is performed by Markov Chain Monte Carlo simulation through the Gibbs sampler algorithm. A dynamic programming algorithm under periodic review inventory policy is applied to derive the inventory costs. The model is tested using partial demand of seasonal apparel product in the US during 1996-05, collected from the US Census Bureau. Results showed that, for intermittent seasonal demand forecast, the BS-ARIMA model performs better and minimizes inventory costs than do S-ARIMA and modified Holt-Winters exponential smoothing method.

https://www.ijiems.com/article_82119_a33174c0f1d72b4686ecbf0ff8318c05.pdf

University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 5 1 2018 06 01 A Statistical Approach to Determine Efficient Fouling Index 20 25 82120 EN Junya Miyamoto Graduate School of Science and Technology Nagasaki University, Nagasaki Kozo Nakamura Graduate School of Science and Technology Nagasaki University, Nagasaki Tsuyoshi Nakamura Graduate School of Science and Technology Nagasaki University, Nagasaki Journal Article 2019 01 24 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_6a110d07db45b1ace6dcdc0cbea85cf1.pdf

University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 5 1 2018 06 01 A Conceptual Model For Collaborative Commerce Technologies Adoption 8 14 82121 EN Alain Y.L Chong Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong Felix T.S Chan Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong Keng Boon Ooi Faculty of Business & Finance, University Tunku Abdul Rahman, Jalan University, Bandar Barat, 31900, Kampar, Perak, Malaysia Journal Article 2019 01 24 The principle objective of this research is to develop a conceptual model to study the relationships between collaborative commerce tools adoption, collaborative supply chain implementations, service innovations and the competitive advantages gained by manufacturing companies in Hong Kong/China and Malaysia. One challenge for governments in these countries is to ensure that their manufacturing industry remains competitive globally. This paper presents the first stage of our study which aims to develop a conceptual model which will then be empirically tested to formulate strategies that companies and government in Hong Kong/China and Malaysia can use to improve their competitiveness. This study aims to bridge the gap in the existing studies in innovation and supply chain management by firstly focusing on collaboration in supply chain management, and secondly in the service.

https://www.ijiems.com/article_82121_6645081859c05aa9e8a19c1404d8e680.pdf

University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 5 1 2018 06 01 Using Fuzzy Set Theory to Ranking Items Case Study: Bangladeshi Coals 58 64 82122 EN Muhammad Shamsuzzaman Department of Industrial Engineering and Management University of Sharjah Fikri Dweiri Department of Industrial Engineering and Management University of Sharjah A.M.M. Sharif Ullah Department of Mechanical Engineering Kitami Institute of Technology, Kitami, Hokkaido, Japan Journal Article 2019 01 24 This study develops a computational framework for ranking Bangladeshi coals for industrial use based on fuzzy set theory. The ranking process considers coal quality parameters (known as selection or ranking criteria) such as sulphur content (ultimate analysis), fixed carbon, volatile matter, moisture content, and ash content (proximate analysis) and calorific value. The selection criteria are fuzzified according to expert’s opinion and the ranges prescribed 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-ranked coal. Based on the proposed methodology, a software system is developed to facilitate the decision-making process.

https://www.ijiems.com/article_82122_dad7e851012c3d9c094e3c0702b089d6.pdf

University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 5 1 2018 06 01 Developing a mathematical model based on compaction reduction to optimize inventory policies in poultry farming 57 70 82123 EN Ebrahim Teimoury Associate Professor, Iran University of Science and Technology, Tehran, Iran Mohammadhosein Babaei Ph.D. Candidate, Iran University of Science and Technology Armin Jabbarzadeh Assistant Professor, Iran University of Science and Technology Journal Article 2019 01 24 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_5ac249894a3192d1e3d494a91e13de76.pdf