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Journal of Industrial Engineering and Management ScienceJournal discontinued 2021

Michele Albano, Aalborg University, Denmark
Kuinam J. Kim, Kyonggi University, South Korea

ISSN: 2446-1822 (Online Version)
Vol: 2017   Issue: 1

Published In:   January 2017

Publication Frequency: Continuous Article Publication

Articles in 2020

Search Available Volume and Issue for Journal of Industrial Engineering and Management ScienceJournal discontinued 2021

Resource Factors Affecting Labour Demand for Textile and Garment Industry in Thailand

K. Leerojanaprapa1, and K. Bhundarak2

1Department of Statistics, Faculty of Science, King Mongkut’s Institute of Technology Ladkrabang, Ladkrabang, Bangkok, 10520, Thailand
2Thammasat Business School, Thammasat University, Phranakorn, Bangkok, 10200, Thailand

Abstract: [+]    |    Download File [ 2775KB ]    |   Read Article Online

Abstract: This article aims to define the correlation between particular resource variables with the labour demand and propose forecasting model for labor demand in textile industry represented by fiber manufacturing companies (ISIC CODE 13111) and in garment industry represented by the manufacturer of work wear (ISIC CODE 14111) in Thailand by multiple regression with and without variable transformation. This research defined eight independent variables: Land capital (X1), Buildings capital (X2), Machinery capital (X3), Working capital (X4), Factory area (X5), Building area (X6), Horsepower (X7), and Type of manufacturer (X8). Secondary data were acquired from the Department of Industrial Works where registered companies submitted their essential data and obtained the approval permit in doing business during 2015. The result of analysis by multiple linear regression are used to explain how particular resource factors affect labour demand for textile and garment industry in Thailand by comparing between textile and garment industry. The results from the study also reveal that transforming labor demand (Y) and Horsepower (X7) with logarithm satisfy all regression assumptions and the forecasting models are also proposed.

Keywords: Multiple regression analysis, workforce, textile and garment manufacturers.

Factors Affecting the Total Cost and Design of the Supply Chain Network

Razaullah1, Iftikhar Hussain2, Shahid Maqsood2 and Ishtiaq Ahmad3

1Department of Mechanical Engineering, Sarhad University of Science & IT, Peshawar, Pakistan
2Department of Industrial Engineering, University of Engineering & Technology, Peshawar, Pakistan
3PhD Scholar, Department of Management Sciences, Iqra National University, Peshawar, Pakistan

Abstract: [+]    |    Download File [ 2161KB ]    |   Read Article Online

Abstract: The network design determines the physical configuration and infrastructure of the supply chain. An efficient supply chain network design is essential for organizations as it aims to minimize the total cost and the products reach the demand points at lowest cost possible with flexible demand. In order to design the supply chain network, an optimization model is developed with a single objective to minimize the total cost. The model determines the best locations of network nodes to minimize the total cost while satisfying the customer demands. The objective function considers the minimization of transportation cost, production cost and the operational costs for the facilities. The incorporation of budget constraint, delivery mode, cross-route costs, maximum flow by a shipping firm, production capacity of the plants, stocking capacity of distribution centers and traffic factors on the supply routes in the mathematical model further broadened the problem. Computational results for different data sets revealed that the proposed solution approach and mathematical model is effective. Also, it has been demonstrated that the benefits of considering traffic factor, cross-route costs, delivery mode and shipping firm selection during supply chain network design phase are significant.

Keywords: Cost minimization, Network design, Supply chain, Shipping firm.

Eliminating Contamination Issues in Manufacturing of Nutritional Products Using Six Sigma Approach

Maxim Krotov and Sanjay Mathrani

School of Engineering and Advanced Technology, Massey University, Auckland, New Zealand

Abstract: [+]    |    Download File [ 817KB ]    |   Read Article Online

Abstract: The industry of nutritional products and premixes does not forgive poor quality. It is crucial manufacturers get product right the first time. However, the quality in this industry is always under threat of contamination issues with out-of-specifications and foreign matter impurity being always on the radar of quality control. Six Sigma approach is renowned for improving quality through eliminating variation. It focuses on critical processes that affect the quality for internal and external customer. This paper aims to describe the journey of improving the quality management through development and application of Six Sigma framework using carefully selected tools, specifically tailored for medium-sized food manufacturing business in Auckland, New Zealand. This facility is experiencing contamination issues in their products due to nonconformance with the standard specifications on ingredient quantity or presence of foreign matter within the end product. Defective products have caused a spike in late deliveries and rejections, spoiling the long-earned reputation amongst loyal customers. A framework is developed that embodies Six Sigma methods Define, Measure, Analyze, Control and Improve for food manufacturing business. Using this framework, the study achieves the optimization in loading, mixing and blending processes as well as product packaging. The results describe the improvement in meeting manufacturing standards, on-time deliveries and reduction of rework and waste. This research provides direction to other small- medium-sized food manufacturing companies in enhancing quality management through eliminating variation in the production processes by effectively adopting the Six Sigma framework.

Keywords: Six Sigma, DMAIC, Quality management, Contamination, Food manufacturing, Nutritional products, Powder mixing.

A Multi-Depot Logistics Distribution Routing Model for Unexpected Events

Xiaoxia Huang1, Liying Song1 and Hongqing Song2

1Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing, China 100083
2School of Civil and Enviromental Engineering, University of Science and Technology Beijing, Beijing, China 100083

Abstract: [+]    |    Download File [ 324KB ]    |   Read Article Online

Abstract: This paper discusses a multi-depot vehicle routing problem for dispatching vehicles in multi-depots to send relief material to the affected areas in unexpected events. Due to the occurrence of the unexpected events, people’s demands in the affected areas and the vehicles’ travel times on roads lack historical data and are given by experts’ estimations. Uncertain variables are used to describe these parameters. By using uncertainty theory, a multi-depot logistics distribution routing model is developed. To solve the problem, the equivalent of the proposed model is also presented. As an illustration, an example is also presented and discussed.

Keywords: Multi-depot vehicle routing problem, emergency logistics, uncertain programming, uncertainty theory, genetic algorithm.

A Simulation-Based Evaluation Approach for Digitalization Scenarios in Smart Supply Chain Risk Management

F. F. Schlüter1, E. Hetterscheid1 and M. Henke2

1Graduate School of Logistics, Technical University of Dortmund, Dortmund, Germany
2Chair of Enterprise Logistics, Technical University of Dortmund, Dortmund, Germany

Abstract: [+]    |    Download File [ 2669KB ]    |   Read Article Online

Abstract: To increase the security of modern, volatile supply chains a proactive risk management based on real-time risk related information transparency is required. At this time, none or only limited empirical/objective information about digitalization benefits for supply chain risk management is available. A method is needed, which draws conclusion on the estimation of costs and benefits of digitalization initiatives. The paper presents a flexible simulationbased approach for evaluating digitalization scenarios prior to realization. The evaluation approach is integrated into a framework and its applicability will be shown in a case study of a German steel producer, evaluating digitalization effects on the Mean Lead time-at-risk.

Keywords: Supply chain risk management, Smart supply chain risk management, Digitalization, Simulation, Industry 4.0.

The Joint Location Inventory Replenishment Problem at a Supermarket Chain under Stochastic Demand

Kizito P. Mubiru1, Kariko B. Buhwezi2 and Okidi P. Lating2

1Mechanical and Production Engineering Department, Kyambogo University, Uganda
2Mechanical Engineering Department, Makerere University, Uganda

Abstract: [+]    |    Download File [ 286KB ]    |   Read Article Online

Abstract: We consider a joint location inventory replenishment problem involving a chain of supermarkets at designated locations. Associated with each supermarket is stochastic stationary demand where inventory replenishment periods are uniformly fixed over the supermarkets. Considering inventory positions of the supermarket chain, we formulate a finite state Markov decision process model where states of a Markov chain represent possible states of demand for milk powder product. The unit replenishment cost, shortage cost, demand and inventory positions are used to generate the total inventory cost matrix; representing the long run measure of performance for the Markov decision process problem. The problem is to determine for each supermarket at a specific location an optimal replenishment policy so that the long run inventory costs are minimized for the given state of demand. The decisions of replenishing versus not replenishing at a given location are made using dynamic programming over e finite period planning horizon. We test the model using data from two supermarket locations. The model demonstrates the existence of an optimal state-dependent replenishment policy and inventory costs for two selected supermarket locations.

Keywords: Inventory replenishment, Joint location, Stochastic demand, Supermarket chain

Musculoskeletal Disorders Survey and Simulation Evaluation of the Handmade Drinks Task: A Case Report

Yi-Lang Chen1, Yin-Sheng Ou2 and Shih-Kai Hsu1

1Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei, Taiwan
2Department of Manufacturing, P.L.S Precise Limited Company, New Taipei, Taiwan

Abstract: [+]    |    Download File [ 1012KB ]    |   Read Article Online

Abstract: This study collected 60 Nordic Musculoskeletal Questionnaire (NMQ) data of workers from handmade drinks stores to understand their discomforts on various body sites. The NMQ results indicate that the overall prevalence of musculoskeletal disorders was 88.0% within 1-year. In terms of discomfort, 66.4% of the respondents experienced discomfort at hands/wrists, whereas those at other body sites were less than 42%. The discomfort at hands/wrists was extremely higher than that data collected from other body sites in this study, as well as the different tasks in the previous surveys. Logistic regression result showed that one of the risk factors in hands/wrists discomfort was gender (odds ratio, male:female = 1:3.67). This study further recruited 10 male and 10 female participants to perform the simulated handmade drinks tasks and to measure their wrist postures using a goniometer, under three handmadedrink methods (i.e., upward, curve, and downward shaking). Results showed that, when performing the downward shaking task, females’ wrists revealed more server ulnar deviations (–21.8◦) and radial deviation (15.4◦) on the left and right wrists, respectively, than males’. Contrarily, the male participants adopted a relatively neutral wrist posture (deviations were less than 10◦) during shaking. The findings of this study can be served as references for the prevention from the musculoskeletal disorders resulting from the drinks handmade task, especially for corrective shaking method and employee recruitment.

Keywords: Musculoskeletal disorders, NMQ questionnaire, Handmadedrink task.

SPC-Based Decision Supporting System For Data Analysis of Tomato, Bell Pepper and Chili

Zaira P. Caranay1 and Rionel Belen Caldo2

1Computer Engineering Department, Lyceum of the Philippines University – Laguna (LPU-L), Philippines
2Computer Engineering Department, Tanauan City College (TCC), Batangas, Philippines
2Electronics and Communications Engineering Department, De La Salle University (DLSU), Manila, Philippines

Abstract: [+]    |    Download File [ 2771KB ]    |   Read Article Online

Abstract: Indeed, Philippines is rich in agricultural resources. However, the country needs improvement by implementing new systems, which will help farmers in lessening their works. In this work, the proponents designed and developed a system that is capable of reading a excel file from the monitored plants (Bell pepper, Tomato and Chili). This study is divided in two parts; the software and the hardware. In hardware part, the proponents used LCD (Liquid Crystal Display) Monitor and cell phones. On the other hand, software parts included all the programming language like Visual Basic. Net. Decision Supporting System and Statistical Process Control (SPC) are the tools and methodologies used in this study. Moreover, control charts were used in showing data trends for analysis and make decision based on the data uploaded in the system. After analyzing of data, the design system will decide whether the charts encounters abnormality, Out-of-Control and Out-of-Specification, and it will be sent through text message. An SMS message will help the user to alert if there’s an Out-of-Control and Out-of-Specification detected in the data. With this, the module is able to help farmers in modeling an intelligent farm system with decision support system in identifying the special cause of variation of plants.

Keywords: Statistical Process Control, Control Charts, OOC, OOS and Decision Support System.

A Decision Support System to Determine the Ideal Number of Workers Using a Line Balancing Method

Hazel A. Caparas

Department of Industrial Engineering, Bulacan State University, City of Malolos, Bulacan

Abstract: [+]    |    Download File [ 817KB ]    |   Read Article Online

Abstract: This paper presents an analysis of a typical assembly line problem which examines how to balance a manual packing line of a local company engaged in manufacturing snack foods. The subject assembly line consists of various manual activities thus seeing the need to set up standard time in order to control excess labor cost and to avoid forcing the worker to perform beyond his or her normal capacity. The work aims to initially establish time standards for activities involved in every workstation through time study. The appropriate time study technique for the subject process line will be briefly discussed on the study. As a result, line balancing approach will be utilized to determine the optimal number of manpower requirement per workstation. Given this method, the study seeks to eliminate build-up of work-in-process between activities, minimize the deviation of utilization of workstations, maximize the capacity of the line and minimize the labor-hour expended per unit of product. The desired outcome of the study is to develop a configuration that will serve as a decision support system for the person in charge to estimate the ideal number of crew to be positioned per workstation. Additionally, the benefits of “walking-worker” will be introduced over a conventional fixed worker in an assembly line. The work will also provide the company an initial systematic procedure for setting up time standards and a performance control system for other product lines.

Keywords: Methods Engineering, Walking-worker, Decision Support System, Manual Packing, Motion and Time Study.

A Comparative Study of Different Automated Teller Machine and Its Effectiveness Based on Customer’s Satisfaction

Marianne B. Calayag, PIE, Donna Maryeliz M. Regala, Camile Jocelle R. Rivera and Danielle Mikee N. Tancio

College of Engineering, Bulacan State University, Malolos, Bulacan, Philippines

Abstract: [+]    |    Download File [ 16203KB ]    |   Read Article Online

Abstract: Research on human-computer interaction started in the year 1960s. It was supported by different fields such as anthropology, cognitive psychology, cognitive science, experimental psychology, ergonomics and human factors. Even though there are almost, millions of automatic teller machines available in the world, users of the machine still have usability problems including inappropriate user – ATM interaction, display problems and others. The study aims to conduct a comparative study between five different automated teller machines; Landbank of the Philippines, Bank of the Philippine Islands, Chinabank, Robinson’s Bank and Banco de Oro, which are all located within the vicinity of Bulacan State University which also includes Graceland Mall in the City of Malolos. The study also aims to determine which factors have the significant effect on the interaction between humans and ATMs, and to evaluate the usability of the said ATMs and its effectiveness to users. The researchers conducted the study from the month of August up to the month of September of the current year. Survey, Queueing process and time experiment was used to support the study. The aspects look into are the visibility of the systems status and feedback on the user, meaningful labels and descriptive

Keywords: links, match between the system and the real world, user control and freedom, consistency, error prevention, learnability and memorability, flexibility and efficiency of use, aesthetics and satisfaction. Only those who have completely accomplished all the questions were considered in the study. The goal of the study is to establish an ergonomically designedATMinterface that will suffice users’ needs as well as is suitable for its intended task.

Analysis of Vehicle Crash Injury-Severity in a Superhighway: A Markovian Approach

John Carlo F. Marquez, Darwin Joseph B. Ronquillo, Noime B. Fernandez and Venusmar C. Quevedo

Industrial Engineering Department Adamson University, Manila, Philippines 1000

Abstract: [+]    |    Download File [ 300KB ]    |   Read Article Online

Abstract: According to the World Health Organization (WHO), road traffic accidents is one of the top causes of death worldwide that claims roughly 1.3 million lives annually. In the Philippines, the Philippine National Police-Highway Patrol Group (PNP-HPG) data showed that there were 15,572 road accidents nationwide for the whole of 2014, with 1,252 persons killed and 9,347 others injured. A comprehensive study was conducted which aims to determine which road traffic accident factors are significant with the severity of road traffic accidents, determine which factors are significant per level of severity, and determine the human factors associated in the occurrence of road traffic accidents that are significant with the levels of severity. Markov Chain Switching Approach enables to determine the probability of occurrence of road traffic accidents and the significant factors that affects the severity of a road traffic accident since it takes into consideration the heterogeneity of the variables and the different time-varying and time-dependent constraints which are not considered by other regression techniques used in road traffic accidents severity literature.

Keywords: Markov Chain Switching Model, Road Traffic Accidents, Injury Severity, Commonwealth Avenue.

Application of Conjoint Analysis in Establishing Aviation Fuel Attributes for Air Travel Industries

Karla Ishra S. Bassig, Hazeline A. Silverio and Venusmar C. Quevedo

Industrial Engineering Department, Adamson University, Manila, Philippines 1000

Abstract: [+]    |    Download File [ 679KB ]    |   Read Article Online

Abstract: With oil being a non-renewable energy, buyers of aviation fuel are more inclined to purchase Jet-A1 from oil companies that offer the best jet fuel.Aviation fuel has the same content even when purchased halfway across the world. Although price is an apparent factor that airlines consider when deciding which oil company to choose for as a supplier, there are ambiguous factors that need to be established so that continuous product development can be made by the aviation fuel organizations. This study used conjoint analysis as a tool to establish the attributes considered by airlines in deciding which oil company best meet their needs. As a result, the following six attributes of aviation fuel were identified: availability, price, accessibility, manpower, equipment and facilities and fuel quality and safety. The results indicate that fuel quality has the greatest influence on the respondents’ purchasing intentions, followed by price, availability, equipment and facilities, and accessibility. Manpower was the least important attribute with regard to the airlines’ buying intention.

Keywords: Conjoint analysis,Aviation fuel, Purchasing intention, Consumer preference, Part-worth.

e-CALLISTO Network System and the Observation of Structure of Solar Radio Burst Type III

M. O. Ali1, Z. S. Hamidi1, N. N. M. Shariff2, M. S. Faid3, S. N. U. Sabri4, Nurulhazwani Husien4, N. H. Zainol4 and C. Monstein5

1Faculty of Applied Sciences, Universiti Teknologi MARA, Selangor, Malaysia
2Academy of Contemporary Islamic Studies, Universiti Teknologi MARA, Selangor, Malaysia
3Academy of Contemporary Islamic Studies, MARA Technology University, Selangor, Malaysia
4Faculty of Applied Sciences, MARA Technology University, Selangor, Malaysia
5Insitute of Astronomy, Wolfgang-Pauli-Str, 27 8093 Zürich, Switzerland

Abstract: [+]    |    Download File [ 2657KB ]    |   Read Article Online

Abstract: This paper highlighted on the unique occurrence of the Solar Radio Burst Type III (SRBT III) during the high activities of the Sun. e-CALLISTO network is the system that responsible for the observation of the Sun 24 hours per day, which is a program under IHY/UNBSSI and ISWI instrument deployment program. The data was taken from one of the part of e-CALLISTO network which is Bleien, Switzerland. The event that had been selected was on 27th August 2015 since there was two subtypes of SRBT III can be obviously observed during the day within 12:00 UT till 12:05 UT. The current condition of solar wind speed is 348 km/s with density 8.4 protons/cm3. Besides the magnetic flux also quite high which is 13.4 nT. Regarding the detection of SRBTIII, the x-ray flux data from Solar Monitor shows there is strong class mflare also occur. The strong flare is also believed to have high temperature due to the high magnetic field. A geo-effective explosion was occur even though the sunspot no longer directly facing on the earth. The active region AR2403 was predicted can potentially cause radio blackout and radiation storm as long as the sunspot remains visible.

Keywords: CALLISTO network system, Solar Radio Burst, Solar Flare.

River Publishers: Journal of Industrial Engineering and Management Science<sup><font color=#f91b02>Journal discontinued 2021</font></sup>