5S is a systematic technique used by organizations come from five Japanese words; Seiri (Sort), Seiton (Set in order), Seiso (Shine), Seiketsu(standardize) and Shitsuke (sustain). This system helps to organize a workplace for efficiency and decrease non value added activities and optimize quality and productivity through monitoring an organized environment. This paper aims to review previous studies about benefits of 5S Implementation and its efficiency in organizations. The results show that 5S is an effective tool for improvement of organizational performance, regardless of organization type, size, its production or its service. Consequently, 5S technique would strongly support the objectives of organization to achieve continuous improvement in performance and productivity.
6921. 
Implementation of 5S practices: A review Pages 155-162
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Authors: Jagtar Singh, Vikas Rastogi, Richa Sharma
Keywords: 5S, Availability, Efficiency, Housekeeping, Total Productive Maintenance, Total Quality Management
Abstract:
Journal: USCM | Year: 2014 | Volume: 2 | Issue: 3 | Views: 14596 | Reviews: 0
6922.
Experimental study of a woven fiberglass composite delamination under impact shock Pages 163-172
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Authors: E.T. Olodo, V. Adanhounme, E.C. Adjovi, S.L. Shambina
Keywords: Charpy test, Interlaminar delamination, Specific delamination energy
Abstract:
This work is devoted to the experimental study of a glass/polyester composite laminate under impact shock. Based on a thermodynamic approach, the objective is the evaluation of specific interlaminar delamination energy in a multi-layer composite material under impact loading causing damage to it by cracking. For modeling impact loading, it is used an experimental device based on the principle of Charpy test which is to measure residual energy of a mass movement following a shock at speeds generally between 1 and 4 m/s, on a test piece cut of standardized dimensions requested in bending. Some of available energy is consumed by the rupture of the test piece. The results of this work showed that for impact test, mode I fracture energy is function of impact speed and the load fall energy. These results could be useful in the design of multilayer structures in composite materials subjected to impact loads.
Journal: ESM | Year: 2014 | Volume: 2 | Issue: 3 | Views: 1919 | Reviews: 0
6923.
An investigation on logistics outsourcing on exports of minerals goods Pages 163-166
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Authors: Ehsan Rahchamandi, Kewmars Fallahi
Keywords: Export, Logistics, Minerals, Outsourcing
Abstract:
This paper presents a study to investigate the effects of outsourcing logistics on improvement of export activities in minerals firms. The proposed study designs a questionnaire with 20 questions in Likert scale and distributes it among 67 firms out of 81 active organizations, which are responsible for exporting minerals in province of Tehran, Iran. Using structural equation modeling, the study has determined that there was a meaningful relationship between strategic orientations of exporters against outsourcing third part logistics (3PL) and basic and additional capabilities of 3PL. In addition, there was a meaningful relationship between basic capabilities of 3PL and competitive advantage of exporters but there was not any meaningful relationship between additional capabilities of 3PL and competitive advantage of exporters. Finally, there was a meaningful relationship between competitive advantage of exporters and performance of exports. In summary, the survey indicates that the outsourcing logistics influences positively on the performance of minerals firms.
Journal: USCM | Year: 2014 | Volume: 2 | Issue: 3 | Views: 1891 | Reviews: 0
6924.
Scheduling stochastic two-machine flow shop problems to minimize expected makespan Pages 163-174
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Authors: Mehdi Heydari, Mohammad Mahdavi Mazdeh, Mohammad Bayat
DOI: 10.5267/j.dsl.2013.04.005
Keywords: Expected makespan minimization, Flow shop scheduling, Stochastic flow shop, Stochastic scheduling
Abstract:
During the past few years, despite tremendous contribution on deterministic flow shop problem, there are only limited number of works dedicated on stochastic cases. This paper examines stochastic scheduling problems in two-machine flow shop environment for expected makespan minimization where processing times of jobs are normally distributed. Since jobs have stochastic processing times, to minimize the expected makespan, the expected sum of the second machine’s free times is minimized. In other words, by minimization waiting times for the second machine, it is possible to reach the minimum of the objective function. A mathematical method is proposed which utilizes the properties of the normal distributions. Furthermore, this method can be used as a heuristic method for other distributions, as long as the means and variances are available. The performance of the proposed method is explored using some numerical examples.
Journal: DSL | Year: 2013 | Volume: 2 | Issue: 3 | Views: 3288 | Reviews: 0
6925.
A rolling horizon-based heuristic to solve a multi-level general lot sizing and scheduling problem with multiple machines (MLGLSP_MM) in job shop manufacturing system Pages 167-178
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Authors: Mohammad Mohammadi, Omid Poursabzi
Keywords: Capacitated lot sizing and scheduling, Heuristic, Job shop, Rolling horizon approach, Sequence-dependent setup
Abstract:
This article addresses multi-level lot sizing and scheduling problem in capacitated, dynamic and deterministic cases of a job shop manufacturing system with sequence-dependent setup times and costs assumptions. A new mixed-integer programing (MIP) model with big bucket time approach is provided to the problem formulation. It is well known that the capacitated lot sizing and scheduling problem (CLSP) is NP-hard. The problem of this paper that it is an extent of the CLSP is even more complicated; consequently, it necessitates the use of approximated methods to solve this problem. Hence, two new mixed integer programming-based approaches with rolling horizon framework have been used to solve this model. To evaluate the performance of the proposed model and algorithms, some numerical experiments are conducted. The comparative results indicate the superiority of the second heuristic.
Journal: USCM | Year: 2014 | Volume: 2 | Issue: 3 | Views: 2321 | Reviews: 0
6926.
An experimental investigation of HA/AL2O3 nanoparticles on mechanical properties of restoration materials Pages 173-182
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Authors: Majid Safarabadi, Nabi Mehri Khansari, Abbas Rezaei
Keywords: Aluminum oxide, Hybrid Nano-composite, Hydroxyapatite, Mechanical properties, Polymethyl methacrylate
Abstract:
Nano composite materials based on polymers are widely used in restoration martials like dental. Poly methyl methacrylate (PMMA) is one of the most used polymers as dental material. PMMA has disadvantages such as low flexural strength properties and impact strength. In this paper, the influences of additive aluminum oxide and hydroxyapatite nanoparticles on the mechanical and strength properties of PMMA (including flexural strength, impact strength, surface hardness and shrinkage behavior) is studied experimentally. For this purpose, nine standard mechanical testing samples of pure PMMA, PMMA/5HA and PMMA/10HA with various amounts of Nano aluminum oxide (3,6,8 wt.%) were prepared. The results showed that the mechanical properties of hybrid Nano-composites were significantly improved in comparison with the pure samples in a way that optimal Nano-composite with convenience flexural properties and impact strength is obtained. Moreover, the use of nanoparticles results in shrinkage reduction of hybrid Nano-composites in comparison with pure PMMA.
Journal: ESM | Year: 2014 | Volume: 2 | Issue: 3 | Views: 3910 | Reviews: 0
6927.
Forecasting stock price using grey-fuzzy technique and portfolio optimization by invasive weed optimization algorithm Pages 175-184
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Authors: A. Hajnoori, M. Amiri, A. Alimi
DOI: 10.5267/j.dsl.2013.04.004
Keywords: Grey Fuzzy Technique, Invasive Weed Algorithm, Portfolio Optimization Model Cardinality Constrain, Prediction
Abstract:
Portfolio optimization problem follows the calculation of investment income per share, based on return and risk criteria. Since stock risk is achieved by calculating its return, which is itself computed based on stock price, it is essential to forecast the stock price, efficiently. In this paper, in order to predict the stock price, grey fuzzy technique with high efficiency is employed. The proposed study of this paper calculates the return and risk of each asset and portfolio optimization model is developed based on cardinality constraint and investment income per share. To solve the resulted model, Invasive Weed Optimization (IWO) algorithm is applied. In an example this algorithm is compared with other metaheuristic algorithms such as Imperialist Competitive Algorithm (ICA), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The results show that the applied algorithm performs significantly better than other algorithms.
Journal: DSL | Year: 2013 | Volume: 2 | Issue: 3 | Views: 2746 | Reviews: 0
6928.
Identifying the role of human resource management in increasing performance and implementation of six sigma projects using fuzzy cognitive maps Pages 179-190
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Authors: Seyyed Yousef Oleyaei-Motlagh, Ali Bonyadi-Naeini
Keywords: Fuzzy Cognitive Maps, Human Resources Management, Project Management, Six Sigma
Abstract:
Six Sigma is known as the best quality management system, which has been applied in different places with distinct tasks. Any implementation of Six Sigma project normally can succeed only when human resource management is applied within the organization, properly. In this paper, we illustrate the intense of relationships between the human resources management indices and Six Sigma project implementation indices for some selected Iranian manufacturing firms. By using the fuzzy cognitive maps (FCM), we are able to show the strength of relationships among various indices. This study helps quality and human resource managers learn how to manage the critical indices to achieve their determined goals and to increase Six Sigma project performance throw human resource management perspective.
Journal: USCM | Year: 2014 | Volume: 2 | Issue: 3 | Views: 2585 | Reviews: 0
6929.
Size and crack length effects on fracture toughness of polycrystalline graphite Pages 183-192
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Authors: J. Akbardoost
Keywords: Crack length effect, Fracture toughness, Higher order terms, Modified maximum tangential stress criterion, Polycrystalline graphite, Size effect
Abstract:
In this paper, the effects of specimen size and crack length on the fracture toughness of polycrystalline graphite are studied. The experimental results reported in the previous studies showed that the fracture toughness of graphite increase in bigger specimen. It has been also demonstrated that the fracture toughness of graphite is nearly identical in specimens with crack length ratio less than 0.7 but decreases for grater crack length ratios. To justify the size and crack length dependency of fracture toughness, the modified form of maximum tangential stress (MMTS) criterion, which makes the use of higher order terms in calculating the stress field around the crack tip is employed. It is shown that the MMTS criterion can provide good estimates for the fracture toughness of graphite obtained from specimen with different sizes. It is also indicated that the MMTS criterion can predict very good the reported experimental fracture toughness data for samples with the crack length ratios less than 0.7.
Journal: ESM | Year: 2014 | Volume: 2 | Issue: 3 | Views: 3074 | Reviews: 0
6930.
A multiple criteria decision making technique for supplier selection and inventory management strategy: A case of multi-product and multi-supplier problem Pages 185-190
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Authors: Morteza Parhizkari, Maghsoud Amirib, Morteza Mousakhani
DOI: 10.5267/j.dsl.2013.04.003
Keywords: LP-Norm, Inventory management, NSGA-II, Supplier selection
Abstract:
Selection of an appropriate supplier along with planning a good inventory system has become an area of open research for the past few years. In this paper, we present a multi objective decision making supplier and inventory management model where two objectives including the quality and offering price of supplier are minimized, simultaneously. The proposed model is formulated as mixed integer programming and it is converted into an ordinary single objective function using Lp-Norm. In order to find efficient solution, we use NSGA-II as meta-heuristic technique and the performance of the proposed model is examined using some instances. The preliminary results indicate that both Lp-Norm and NSGA-II methods can be used to handle problems in various sizes.
Journal: DSL | Year: 2013 | Volume: 2 | Issue: 3 | Views: 2961 | Reviews: 0