An integrated framework using VSM, AHP and TOPSIS for simplifying the sustainability improvement process in a complex manufacturing process

2019 ◽  
Vol 18 (1) ◽  
pp. 211-229 ◽  
Author(s):  
Mohyiddine Soltani ◽  
Hichem Aouag ◽  
Mohamed Djamel Mouss
Keyword(s):  
Manufacturing Process ◽  
Integrated Approach ◽  
Basic Structure ◽  
Sustainability Indicators ◽  
Value Stream Mapping ◽  
Manufacturing Processes ◽  
Improvement Strategy ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Improvement Process

Purpose The purpose of this paper is to propose an integrated approach for assessing the sustainability of production and simplifying the improvement tasks in complex manufacturing processes. Design/methodology/approach The proposed approach has been investigated the integration of value stream mapping (VSM), analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). VSM is used as a basic structure for assessing and improving the sustainability of the manufacturing process. AHP is used for weighting the sustainability indicators and TOPSIS for prioritizing the operations of a manufacturing process regarding the improvement side. Findings The results carried out from this study help the managers’ staff in organizing the improvement phase in the complex manufacturing processes through computing the importance degree of each indicator and determining the most influential operations on the production. Research limitations/implications The major limitations of this paper are that one case study was considered. In addition, to an average set of sustainability indicators that have been treated. Originality/value The novelty of this research is expressed by the development of an extended VSM in complex manufacturing processes. In addition, the proposed approach contributes with a new improvement strategy through integrating the multi-criteria decision approaches with VSM method to solve the complexity of the improvement process from sustainability viewpoints.

Integration of AHP-QFD for selecting facility location

2015 ◽  
Vol 22 (3) ◽  
pp. 411-425 ◽  
Author(s):  
Rajesh Chadawada ◽  
Ahmad Sarfaraz ◽  
Kouroush Jenab ◽  
Hamid Pourmohammadi
Keyword(s):  
Facility Location ◽  
Solution Process ◽  
Pairwise Comparison ◽  
Integrated Approach ◽  
Point Of View ◽  
Location Problems ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Facility Location Problems ◽  
Managerial Experience

Purpose – The purpose of this paper is to describe and implements an analytic hierarchy process (AHP)-QFD model for selecting the best location from an organization point of view which picks the site with the best opportunity requirements. Integration of AHP-QFD process gives us a new approach to assist organizations through observing various factors and selecting the best location among different alternatives. This approach uses AHP method to match the preferences required by decision makers and these preferences are applied to the characteristics of QFD. The model fundamental requirement are perfect potential locales and the areas are contrasted and both quantitative and qualitative elements to permit directors to join managerial experience and judgment in the answer process. The AHP-QFD model is also applied on a case study to illustrate the solution process. Design/methodology/approach – The integration of AHP and QFD is used to analyze available options and select the best alternative. This can be done by ranking each criterion through a pairwise comparison. Given collected data, the QFD approach is used to find the capability of each criterion. Findings – Integration of AHP-QFD is used to select the best alternative in facility location. This integrated approach can be best used in dealing with facility location problems. Originality/value – The developed AHP-QFD model in facility location problems, facilitates the inclusion of market criteria and decision maker opinion into the traditional cost function, which has been mainly distance base in the literature.

scholarly journals A fuzzy-analytic hierarchy process approach for measuring flood resilience at the individual property level

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oluseye Adewale Adebimpe ◽  
David G. Proverbs ◽  
Victor Oluwasina Oladokun
Keyword(s):  
Analytic Hierarchy Process ◽  
Integrated Approach ◽  
Quantitative Approach ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Individual Property ◽  
Content Type ◽  
Sea Levels ◽  
Qualitative Approaches ◽  
Hierarchy Process

PurposeRecent changes in climate, rainfall patterns, snow melt and rising sea levels coupled with an increase in urban development have increased the threat of flooding. To curb these threats and mitigate these damages, property-level approaches to improving resilience are now being encouraged as part of an integrated approach to flood risk management. This raises questions such as, what are the flood resilient attributes within individual properties, what is their importance and how can these be quantified. This research sought to develop a quantitative approach for the measurement of property-level flood resilience.Design/methodology/approachA synthesis of literature was undertaken to establish the main resilient attributes and their relevant sub-attributes. This process led to the development of a new method, named the Composite Flood Resilient Index (CFRI) to weight the attributes and sub-attributes of flood resilience based on their importance. The approach adopts the use of the fuzzy-analytic hierarchy process (F-AHP) approach to quantify flood resilience.FindingsThe implications of the proposed methodology in determining the flood resilience of individual property, including the potential use in retrofitting activities, and the benefits to a range of stakeholders are considered.Social implicationsThe methodology offers the potential to support the measurement of flood resilience of individual properties, allowing the identification and prioritisation of specific interventions to improve the resilience of a property.Originality/valueWhereas previous attempts to quantify flood resilience have adopted qualitative approaches with some level of subjectivity, this proposed methodology represents an important advancement in developing a scientific and quantitative approach.

Improving the performance of a Malaysian pharmaceutical warehouse supply chain by integrating value stream mapping and discrete event simulation

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmed Abideen ◽  
Fazeeda Binti Mohamad
Keyword(s):  
Supply Chain ◽  
Lead Time ◽  
Discrete Event ◽  
Integrated Approach ◽  
Value Stream Mapping ◽  
Content Type ◽  
Value Stream ◽  
Future State ◽  
The Future ◽  
Value Stream Map

Purpose Lean implementation is vastly incorporated in core manufacturing processes; however, its applicability in the supply chain and service industry is still in its infancy. To acquire performance excellence and thrive in the global competitive market, many firms are adopting newer methodologies. But, there is a stringent need for production simulation systems to analyze supply chains both inbound and outbound. The era of face validation is slowly disappearing. Lean tools and procedures that provide future state assumptions need advanced tools and techniques to measure, quantify, analyze and validate them. The purpose of this study is to enable dynamic quantification and visualization of the future state of a warehouse supply chain value stream map using discrete event simulation (DES) technique. Design/methodology/approach This study aimed to apply an integrated approach of the value stream mapping (VSM) and DES in a Malaysian pharmaceutical production warehouse. The main focus is diverted towards reducing the warehouse supply chain lead time by initially constructing a supply chain value stream map (both present state and future state) and integrating its data in a DES modelling and simulation software to dynamically visualize the changes in future state value stream map. Findings The DES simulation was able to mimic the future state lead time reductions successfully, which assists in better decision-making. Improvements were seen related to total lead time, process time, value and non-value-added percentage. Warehouse performance metrics such as receiving, put away and storage rates were substantially improved along with pallet processing time, worker and forklift throughput usage percentage. Detailed findings are clearly stated at the end of this paper. Research limitations/implications This study is limited to the warehouse environment and further additional process models and functional upgrades in the DES software systems are very much needed to directly visualize and quantify all the possible Lean assumptions such as radio frequency image identification/Andon (Jidoka), 5S, Kanban, Just-In-Time and Heijunka. However, DES has a leading edge in extracting dynamic characteristics out of a static VSM timeline and capture details on discrete events precisely by picturizing facility modification and lead time related to it. Practical implications This paper includes all the fundamental pharmaceutical warehouse supply chain processes and the simulations of the future state VSM in a real-life context by successfully reducing supply chain lead time and allowing managers in inculcating near-optimal decision-making, controlling and coordinating warehouse supply chain activities as a whole. Social implications This integrated approach of DES and VSM can involve managers and top management to support the adoption of anticipated changes. This study also has the potential to engage practitioners, researchers and decision-makers in the warehouse industry. Originality/value This study involves a powerful DES software package that can mimic the real situation as a virtual simulation and all the data and model building are based on a real warehouse scenario in the pharmaceutical industry.

Strategies to enhance intergenerational learning and reducing knowledge loss

VINE ◽  
2015 ◽  
Vol 45 (4) ◽  
pp. 551-567 ◽  
Author(s):  
Constantin Bratianu ◽  
Ramona Diana Leon
Keyword(s):  
Integrated Approach ◽  
Intergenerational Learning ◽  
Aging Workforce ◽  
Analytic Hierarchy ◽  
Knowledge Loss ◽  
Content Type ◽  
Workforce Aging ◽  
Nested Structure ◽  
Aging Phenomenon ◽  
Analytic Hierarchy Process Method

Purpose – The purpose of this paper is to identify and analyze the main strategies used in organizations to enhance intergenerational learning (IGL) and reduce knowledge loss. The emphasis is on universities that have an age layered or nested structure. Design/methodology/approach – The research is based on an integrated approach of literature search, content analysis, survey based on interviews and questionnaires and the analytic hierarchy process method. The research questions are as follows: What is the level of awareness in organizations about knowledge loss and the role of IGL in reducing its consequences? What kind of organizational structure is adequate for promoting IGL? What are the most suitable strategies for enhancing IGL and reducing knowledge loss? Findings – Universities have a nested generational structure, which makes them adequate for IGL. The most used strategies for enhancing IGL are mentoring, intergenerational research teams and intergenerational creativity workshops. Research limitations/implications – Empirical investigations covered only four universities. Research should be extended to a larger number of universities and also to companies. Practical implications – Findings are valuable for organizations having an aging workforce and which want to reduce knowledge loss through the IGL process. Originality/value – The study provides an insight look of how organizations experiencing a workforce aging phenomenon can enhance IGL to reduce knowledge loss.

Lean Six Sigma in manufacturing process: a bibliometric study and research agenda

2020 ◽  
Vol 32 (3) ◽  
pp. 381-399 ◽  
Author(s):  
Juliano Endrigo Sordan ◽  
Pedro Carlos Oprime ◽  
Márcio Lopes Pimenta ◽  
Paolo Chiabert ◽  
Franco Lombardi
Keyword(s):  
Six Sigma ◽  
Manufacturing Process ◽  
Research Agenda ◽  
Lean Six Sigma ◽  
Bibliometric Study ◽  
Future Research ◽  
Manufacturing Processes ◽  
Bibliometric Indicators ◽  
Content Type ◽  
Practical Implications

PurposeThe purpose of this paper is to develop a bibliometric study about Lean Six Sigma (LSS) in the manufacturing process and to conduct an analysis of sources of publication, authorship, citations and other bibliometric indicators. This paper also identifies the research agenda for future research related to the LSS approach in manufacturing processes.Design/methodology/approachA total of 508 articles published during the period 2002 to 2017 were collected through an automated process from the Scopus and Web of Science databases and later analyzed using techniques such as data mining, bibliometric indicators analysis, cluster analysis, network analysis and word cloud. The boundaries of the study cover studies directed to the manufacturing processes.FindingsThe research identified 1,110 authors from 54 countries and 15 most prolific journals among the 162 journals investigated. The study unveils relevant articles, authors and journals that have discussed LSS initiatives in the manufacturing process.Practical implicationsThe study findings can make practitioners aware of the state of the art and the specificities of the most prolific studies. Furthermore, this paper also intends to clarify the project themes and tools most used in these works.Originality/valueThe geographical locations of influential articles and authors are revealed. Additionally, frequently used words are listed and helped to develop a research agenda that highlights relevant themes, methods and industries.

Enhancement of value stream mapping application process through using fuzzy DEMATEL and fuzzy QFD approaches: a case study considering economic and environmental perspectives

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hichem Aouag ◽  
Mohyiddine Soltani ◽  
Mohamed Djamel Mouss
Keyword(s):  
Value Stream Mapping ◽  
Fuzzy Decision Making ◽  
Manufacturing Processes ◽  
Application Process ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Value Stream ◽  
Current State ◽  
Fuzzy Qfd ◽  
Fuzzy Quality Function Deployment

Purpose This paper aims to investigate an integrated approach that aims at enhancing the application process of value stream mapping (VSM) method. It also proposes an extended VSM called Economic and Environmental VSM(E-EVSM). The proposed approach highlights the improvement of economic and environmental performances. Design/methodology/approach The proposed approach has studied the integration of VSM, fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy quality function deployment (QFD) to improve the economic and environmental performances of manufacturing processes. The VSM method is used for data collection and manufacturing process assessment, whereas fuzzy DEMATEL is used to analyse the current state map. Finally, fuzzy QFD is used to organize the improvement phase of VSM method. Findings The clear findings of this research prove the effectiveness of VSM method on the environmental and economic performances of manufacturing processes. In addition, the proposed approach will show the advantages of fuzzy DEMATEL and fuzzy QFD approaches in improving the application of the VSM method. Research limitations/implications The limitation of this study includes the lack of consideration of other dimensions such as social, technological and managerial. In addition, the proposed approach studied an average set of environmental and economic indicators. Originality/value The novelty of the proposed approach is proved by the development of an extended VSM method (E-EVSM). Also, the proposed approach contributes by a new methodology for analysing and improving the current state map of manufacturing processes.

scholarly journals An Evaluation Method for Brittle Source of the Key Procedure in Complex Parts’ Manufacturing

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Ying Xiang ◽  
Rong Mo ◽  
Hu Qiao
Keyword(s):  
Manufacturing Process ◽  
Evaluation Method ◽  
Manufacturing Processes ◽  
Control Points ◽  
Analytic Hierarchy ◽  
The Stability ◽  
Parts Manufacturing ◽  
Hierarchy Process ◽  
The Relationship ◽  
Complex Parts

A method is proposed to analyze and evaluate brittle source of the key procedure in increasing the stability during complex parts’ manufacturing. Based on the concept of machining cell, brittleness risk is introduced into the stability analysis of manufacturing process; the key procedure in manufacturing process is obtained by analyzing and calculating the brittleness risk entropy of each machining cell. Moreover, brittleness factors of the key process are analyzed to obtain a human-machine-environment brittleness model from man-machine-environment. The improved fuzzy analytic hierarchy process (FAHP) is used to analyze the relationship between the brittleness factor and the brittleness event, and a quantification method of the brittle factor in the key process is given. Thus, dangerous brittle sources in key procedure as well as abnormal control points for anomalies can be identified to improve the stability of complex parts’ manufacturing processes. Finally, the correctness and effectiveness of this method are verified by using the manufacturing process of an aeroengine blade.

scholarly journals Quantifying complexity in translational research: an integrated approach

2014 ◽  
Vol 27 (8) ◽  
pp. 760-776 ◽  
Author(s):  
David A. Munoz ◽  
Harriet Black Nembhard ◽  
Jennifer L. Kraschnewski
Keyword(s):  
Translational Research ◽  
Quality Function Deployment ◽  
Integrated Approach ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Technical Requirements ◽  
Three Phase ◽  
The Impact ◽  
Hierarchy Process

Purpose – The purpose of this paper is to quantify complexity in translational research. The impact of major operational steps and technical requirements is calculated with respect to their ability to accelerate moving new discoveries into clinical practice. Design/methodology/approach – A three-phase integrated quality function deployment (QFD) and analytic hierarchy process (AHP) method was used to quantify complexity in translational research. A case study in obesity was used to usability. Findings – Generally, the evidence generated was valuable for understanding various components in translational research. Particularly, the authors found that collaboration networks, multidisciplinary team capacity and community engagement are crucial for translating new discoveries into practice. Research limitations/implications – As the method is mainly based on subjective opinion, some argue that the results may be biased. However, a consistency ratio is calculated and used as a guide to subjectivity. Alternatively, a larger sample may be incorporated to reduce bias. Practical implications – The integrated QFD-AHP framework provides evidence that could be helpful to generate agreement, develop guidelines, allocate resources wisely, identify benchmarks and enhance collaboration among similar projects. Originality/value – Current conceptual models in translational research provide little or no clue to assess complexity. The proposed method aimed to fill this gap. Additionally, the literature review includes various features that have not been explored in translational research.

Manufacturing sustainability assessment using a lean manufacturing tool

2020 ◽  
Vol 11 (5) ◽  
pp. 957-985
Author(s):  
Sri Hartini ◽  
Udisubakti Ciptomulyono ◽  
Maria Anityasari ◽  
Sriyanto
Keyword(s):  
Manufacturing Process ◽  
Sustainability Assessment ◽  
Qualitative Assessment ◽  
Value Stream Mapping ◽  
Furniture Industry ◽  
Content Type ◽  
Sustainability Performance ◽  
Single Index ◽  
Value Stream ◽  
Sustainable Value

Purpose Manufacturers and engineers need a practical and operational way to understand sustainable manufacturing and to apply it to their shop floors. The single index enables manufacturing industries to make decisions considering the continuous improvement to increase sustainability performance. The purpose of this paper is to develop a manufacturing sustainability index (MSI) based on lean and sustainability concepts using sustainable-value stream mapping. Design/methodology/approach The methodology of this research is linked to Delphi- analytical hierarchy process (AHP) qualitative assessment with sustainable-value stream mapping quantitative analysis for determining MSI. The Delphi method is used with relevant indicator selection, sustainable-value stream mapping is used to score the relevant indicator with efficiency approach and the AHP method is used to determine the indicator weight. To evaluate the applicability of this framework for assessing sustainability in the manufacturing process, a case study in Indonesian Wooden Furniture was developed. Findings The findings of this research is the framework for evaluating and assessing the sustainability performance of the manufacturing process. Although evaluation of the framework is limited to the furniture industry, there is a methodology potential to reproduce for the other sectors. Research limitations/implications Theoretically, this study has provided a single index to measure performance of the manufacturing sustainability comprehensively at factory level. However, the implementation of the developed model is too limited. More application in different sectors and different industrial sizes is needed. Originality/value The value of this research lies in the novelty of the single index in measuring manufacturing sustainability and the relevant indicators for the furniture industry in Indonesia. The selection of the indicators has involved practitioners in the furniture industry and encompassed economic, environmental and social dimensions. The visualization of indicators through sustainable-value stream mapping is proven to be more practical and helpful for industrialists.

scholarly journals Metal Machining—Recent Advances, Applications, and Challenges

Metals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 580
Author(s):  
Francisco J. G. Silva
Keyword(s):  
Surface Finish ◽  
Manufacturing Process ◽  
Dimensional Accuracy ◽  
Machining Process ◽  
High Dimensional ◽  
Manufacturing Processes ◽  
Recent Advances ◽  
Metal Machining ◽  
Rapid Manufacture

Though new manufacturing processes that revolutionize the landscape regarding the rapid manufacture of parts have recently emerged, the machining process remains alive and up-to-date in this context, always presenting itself as a manufacturing process with several variants and allowing for high dimensional accuracy and high levels of surface finish [...]

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