The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Hadi S Mirghaderi - One of the best experts on this subject based on the ideXlab platform.
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value stream mapping approach and analytical network process to identify and prioritize production system s mudas case study natural fibre clothing Manufacturing Company
Journal of The Textile Institute, 2018Co-Authors: Donya Behnam, Ashkan Ayough, Hadi S MirghaderiAbstract:The current research has been done to identify and prioritize the Mudas of the production line of a natural fibre clothing Manufacturing Company; in this way, value stream mapping has been used to ...
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value stream mapping approach and analytical network process to identify and prioritize production system s mudas case study natural fibre clothing Manufacturing Company
Journal of The Textile Institute, 2018Co-Authors: Donya Behnam, Ashkan Ayough, Hadi S MirghaderiAbstract:AbstractThe current research has been done to identify and prioritize the Mudas of the production line of a natural fibre clothing Manufacturing Company; in this way, value stream mapping has been used to identify the Mudas, then analytical hierarchy method has been used to screen the Mudas. In the first step, necessary information to design value stream of production process has been obtained by observation, measurement and interview; afterward, according to the obtained information and by forming a focus group, Mudas in the production line have been identified and prioritized according to seven categories of Mudas. In order to prioritizing the Mudas by the usage of analytical hierarchy method, the Super Decision software has been applied. Then, according to the obtained priorities, suggested map of the future value system has been drawn and some suggestions have been presented to eliminate Mudas and move towards the lean Manufacturing.
Donya Behnam - One of the best experts on this subject based on the ideXlab platform.
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value stream mapping approach and analytical network process to identify and prioritize production system s mudas case study natural fibre clothing Manufacturing Company
Journal of The Textile Institute, 2018Co-Authors: Donya Behnam, Ashkan Ayough, Hadi S MirghaderiAbstract:The current research has been done to identify and prioritize the Mudas of the production line of a natural fibre clothing Manufacturing Company; in this way, value stream mapping has been used to ...
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value stream mapping approach and analytical network process to identify and prioritize production system s mudas case study natural fibre clothing Manufacturing Company
Journal of The Textile Institute, 2018Co-Authors: Donya Behnam, Ashkan Ayough, Hadi S MirghaderiAbstract:AbstractThe current research has been done to identify and prioritize the Mudas of the production line of a natural fibre clothing Manufacturing Company; in this way, value stream mapping has been used to identify the Mudas, then analytical hierarchy method has been used to screen the Mudas. In the first step, necessary information to design value stream of production process has been obtained by observation, measurement and interview; afterward, according to the obtained information and by forming a focus group, Mudas in the production line have been identified and prioritized according to seven categories of Mudas. In order to prioritizing the Mudas by the usage of analytical hierarchy method, the Super Decision software has been applied. Then, according to the obtained priorities, suggested map of the future value system has been drawn and some suggestions have been presented to eliminate Mudas and move towards the lean Manufacturing.
Nader Ale Ebrahim - One of the best experts on this subject based on the ideXlab platform.
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supplier assessment and selection using fuzzy analytic hierarchy process in a steel Manufacturing Company
Social Science Research Network, 2014Co-Authors: Farzad Tahriri, Mohammad Dabbagh, Nader Ale EbrahimAbstract:Every organization needs suppliers and no organization can exist without suppliers. Therefore, the organizations approach to suppliers and the selection of the appropriate supplier, its acquisition processes and policies, and its relationships with suppliers, is of vital importance, both to organizations and suppliers alike. No organization can be successful without the support of its supplier base, operationally and strategically, short or long-term.To select the best supplier, it is essential to make an analytical decision based upon tangible and intangible criteria. Chose and management of a supplier has to be congruent with organizational strategy. Therefore, the vision and strategy of the manufacturer are the key drivers for how the supply function will be managed and how supply decisions are made and exectuted. The proposed model in this study was applied in a steel Manufacturing Company in Malaysia with the goal of reducing time in choosing the correct supplier for the Company. This study aims to provide a systematic model stimulating correct supplier selection using the Fuzzy Analytic Hierarchy Process (FAHP) method along with a series of sensitivity analyses which were conducted using the Expert Choice (EC) program to evaluate the impact of changes in the priority of criteria for the suppliers' performance and order quantities. Aims: The main goal of this research is to develop a systematic model towards the best supplier selection. To facilitate the aim of the research, we utilized the Fuzzy Analytic Hierarchy Process, which was a combination of AHP and Fuzzy Theory in order to deal with the uncertainties and vagueness of decision makers’ judgement. Study Design: Mention the design of the study here. Place and Duration of Study: The data samples were taken in a steel Manufacturing Company in Malaysia. Methodology: A Fuzzy Analytic Hierarchy approach is used using a quantitative and qualitative criteria for selecting and evaluating a suitable supplier selection and a six step was conducted to ensure successful implementation. Results: The results indicate that the model is able to assist decision makers to examine the strengths and weaknesses of supplier selection by comparing them with appropriate criteria, sub-criteria and sub sub-criteria. Conclusion: We developed a Fuzzy AHP multi-criteria decision making model for supplier evaluation and selection in the ABC steel Company in Malaysia. The advantage of the proposed model over other models like the AHP is that, by adoption of fuzzy numbers, it effectively improves the flexibility of the conventional AHP in dealing with the uncertainty and ambiguity associated with different decision makers’ judgments.
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supplier assessment and selection using fuzzy analytic hierarchy process in a steel Manufacturing Company
Journal of Scientific Research and Reports, 2014Co-Authors: Farzad Tahriri, Mohammad Dabbagh, Nader Ale EbrahimAbstract:Every organization needs suppliers and no organization can exist without suppliers. Therefore, the organizations approach to suppliers and the selection of the appropriate supplier, its acquisition processes a nd policies, and its relationships with suppliers, is of vital importance, both to organizations and suppliers alike. No organization can be successful without the support of its supplier base, operationally and strategically, short or long-term.To selectthe best supplier, it is essential to make an analytical decision based upon tangible and intangible criteria. Chose and management of a supplier has to be congruent with organizational strategy. Therefore, the vision and strategy of the manufacturer are t he key drivers for how the supply function will be managed and how supply decisions are made and exectuted. The proposed model in this study was applied in a steel Manufacturing Company in Malaysia with the goal of reducing time in choosing the correct supplier for the Company.This study aims to provide a systematic model stimulating correct supplier selection using the Fuzzy Analytic Hierarchy Process (FAHP) method along with a series of sensitivity analyses which were conducted using the Expert Choice (EC) program to evaluate the impact of changes in the priority of criteria for the
Rivia Atmajaningtyas Utami - One of the best experts on this subject based on the ideXlab platform.
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analysis of production planning in a global Manufacturing Company with process mining
Journal of Enterprise Information Management, 2018Co-Authors: E R Mahendrawathi, Noval Arsad, Hanim Maria Astuti, Renny Pradina Kusumawardani, Rivia Atmajaningtyas UtamiAbstract:Purpose The purpose of this paper is to present the result of using process mining to model the production planning (PP) process of a Manufacturing Company that is supported by enterprise resource planning (ERP) systems. Design/methodology/approach This paper uses event logs obtained from the case Company’s ERP database. The steps for this research are planning process mining implementation, extraction and construction of event log, discovering process model with Heuristic Miner and analysis. Findings Process model obtained from process mining shows how the PP is actually conducted. It shows the loop in materials requirement planning and create plan order process. Furthermore, the occurrences of changing plan order date and production line indicate the schedule instability in the case Company. Further analysis of the material management (MM) event log shows the implication of production plan changes on MM. Continuous change in the plan affects material allocation priority and may result in a mismatch between production needs and the materials available. Research limitations/implications The study is only conducted in a single and specific case. Therefore, even though the findings provide good insight, the use of solitary case study does not imply a general result applied to other cases. Hence, there is a need to conduct similar studies on various cases so that a more generic conclusion can be drawn. Practical implications The result provides insights into how the current Company’s policy of adjusting the production plan to accommodate changing demand impacts their operation. It can help the Company to consider a better balance between flexibility and efficiency to improve their process. Originality/value The paper demonstrates the use of process mining to capture the real progression of PP based on the data stored in the Company’s ERP database, which give an insight into how a real Company conducts their PP process, the implication of schedule instability on MM and production. The novelty of this research lies in the use of process mining to attest to the schedule nervousness issue at a process level.
James Prendergast - One of the best experts on this subject based on the ideXlab platform.
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implementation and benefits of introducing a computerised maintenance management system into a textile Manufacturing Company
Journal of Materials Processing Technology, 2004Co-Authors: C D Odonoghue, James PrendergastAbstract:Abstract Equipment, be it sophisticated or basic in operation and design, depending on its usage, will inevitably malfunction and breakdown. Within any organisation where manufacture is the primary activity, it is crucial that procedures exist for equipment maintenance. Not only does equipment maintenance need to be planned for, the possibility and probability of breakdowns and disruption to operations must also be considered when planning and scheduling production. This paper examines the basis of various maintenance management strategies used to date in international Manufacturing. These strategies assist the maintenance function and enable the process of maintenance to be optimised. Special attention is given to Computerised Maintenance Management Systems (CMMSs), how this particular strategy was successfully implemented in a medium sized Irish textile Manufacturing Company.
