scholarly journals Decision-making approaches in process innovations: an explorative case study

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Erik Flores-Garcia ◽  
Jessica Bruch ◽  
Magnus Wiktorsson ◽  
Mats Jackson
Keyword(s):  
Decision Making ◽  
Production Systems ◽  
Current Understanding ◽  
Research Approach ◽  
Manufacturing Companies ◽  
Content Type ◽  
Process Innovations ◽  
Combined Use ◽  
Selection Of

Purpose The purpose of this paper is to explore the selection of decision-making approaches at manufacturing companies when implementing process innovations. Design/methodology/approach This study reviews the current understanding of decision structuredness for determining a decision-making approach and conducts a case study based on an interactive research approach at a global manufacturer. Findings The findings show the correspondence of intuitive, normative and combined intuitive and normative decision-making approaches in relation to varying degrees of equivocality and analyzability. Accordingly, the conditions for determining a decision-making choice when implementing process innovations are revealed. Research limitations/implications This study contributes to increased understanding of the combined use of intuitive and normative decision making in production system design. Practical implications Empirical data are drawn from two projects in the heavy-vehicle industry. The study describes decisions, from start to finish, and the corresponding decision-making approaches when implementing process innovations. These findings are of value to staff responsible for the design of production systems. Originality/value Unlike prior conceptual studies, this study considers normative, intuitive and combined intuitive and normative decision making. In addition, this study extends the current understanding of decision structuredness and discloses the correspondence of decision-making approaches to varying degrees of equivocality and analyzability.

Sustainable circular supplier selection and evaluation in the manufacturing sector using Pythagorean fuzzy EDAS approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Liu ◽  
Pratibha Rani ◽  
Khushboo Pachori
Keyword(s):  
Decision Making ◽  
Human Behavior ◽  
Circular Economy ◽  
Supplier Selection ◽  
Manufacturing Sector ◽  
Uncertain Information ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Supplier Selection ◽  
Selection Of

PurposeDue to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.Design/methodology/approachThis paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.FindingsThe outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.Originality/valueSelecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.

Selection of lean manufacturing systems using the PROMETHEE

2008 ◽  
Vol 3 (1) ◽  
pp. 40-70 ◽  
Author(s):  
G. Anand ◽  
Rambabu Kodali
Keyword(s):  
Decision Making ◽  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Strategic Decision ◽  
Computer Integrated Manufacturing ◽  
Preference Ranking ◽  
Manufacturing Strategy ◽  
Manufacturing Companies ◽  
Content Type

PurposeIn recent years, many manufacturing companies are attempting to implement lean manufacturing systems (LMS) as an effective manufacturing strategy to survive in a highly competitive market. Such a process of selecting a suitable manufacturing system is highly complex and strategic in nature. The paper aims to how companies make a strategic decision of selecting LMS as part of their manufacturing strategy, and on what basis such strategic decisions are made by the managers.Design/methodology/approachA case study of a small‐ and medium‐sized enterprise is presented, in which the managers are contemplating on implementing either computer integrated manufacturing systems (CIMS) or LMS. To supplement the decision‐making process, a multi‐criteria decision making (MCDM) model, namely, the preference ranking organisation method for enrichment evaluations (PROMETHEE) is used to analyse how it will impact the stakeholders of the organisation, and the benefits gained.FindingsAn extensive analysis of PROMETHEE model revealed that LMS was the best for the given circumstances of the case.Research limitations/implicationsThe same problem can be extended by incorporating the constraints (such as financial, technical, social) of the organisation by utilising an extended version of PROMETHEE called the PROMETHEE V. Since, a single case study approach has been utilised, the findings cannot be generalized for any other industry.Practical limitations/implicationsThe methodology of PROMETHEE and its algorithm has been demonstrated in a detailed way and it is believed that it will be useful for managers to apply such MCDM tools to supplement their decision‐making efforts.Originality/valueAccording to the authors’ knowledge there is no paper in the literature, which discusses the application of PROMETHEE in making a strategic decision of implementing LMS as a part of an organisation's manufacturing strategy.

An integrated fuzzy-based multi-criteria decision-making approach for the selection of an effective manufacturing system

2018 ◽  
Vol 25 (1) ◽  
pp. 280-296 ◽  
Author(s):  
Ram Prakash ◽  
Sandeep Singhal ◽  
Ashish Agarwal
Keyword(s):  
Decision Making ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Research Work ◽  
Sustainable Growth ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Manufacturing Company ◽  
Selection Of

Purpose The research paper presents analysis and prioritization of barriers influencing the improvement in the effectiveness of manufacturing system. The purpose of this paper is to develop an integrated fuzzy-based multi-criteria decision-making (F-MCDM) framework to assist management of the case company in the selection of most effective manufacturing system. The framework helps in prioritizing the manufacturing systems on the basis of their effectiveness affected by the barriers. Design/methodology/approach In this paper, on the basis of experts’ opinion, five barriers have been identified in a brain-storming session. The problem of prioritization of manufacturing system is a multi-criteria decision-making (MCDM) problem and hence is solved by using the F-MCDM approach using dominance matrix. Findings Manufacturing systems’ effectiveness for Indian industries is influenced by barriers. The prioritization of manufacturing systems depends on qualitative factor decision-making criteria. Among the manufacturing systems, leagile manufacturing system is given the highest priority followed by lean manufacturing system, agile manufacturing system, flexible manufacturing system and cellular manufacturing system. Research limitations/implications The selection of an appropriate manufacturing system plays a vital role for sustainable growth of the manufacturing company. In the present work, barriers which influence the effectiveness of manufacturing system have been identified. On the basis of degree of influence of barriers on the effectiveness of the manufacturing system, five alternative manufacturing systems are prioritized. The framework will help the management of the case company to take reasonable decision for the adoption of the appropriate manufacturing system. Practical implications The results of the research work are very useful for the manufacturing companies interested in analyzing the alternative manufacturing systems on the basis of their effectiveness and their sensitivity toward various barriers. The management of Indian manufacturing company will take decision to adopt a manufacturing system whose effectiveness is least sensitive toward barriers. Effectiveness of such manufacturing system will improve with time without having retardation due to barriers. With improved effectiveness of the manufacturing system, the manufacturing company would be able to survive with global competition. The result of the present work is based on the inputs from the case company and may vary for the other manufacturing company. In the present work, only five alternative manufacturing systems and five barriers have been considered. To obtain the better result, MCDM approach with more number of alternative manufacturing systems and barriers might be considered. Originality/value The research work is based on the fuzzy analytic hierarchy process framework and on the case study conducted by the authors. The work carried out is original in nature and based on the real-life case study.

scholarly journals Big Data Analysis Proposal for Manufacturing Firm

2021 ◽  
Vol 5 (1) ◽  
pp. 68-75
Author(s):  
Alicia Valdez ◽  
Griselda Cortes ◽  
Laura Vazquez ◽  
Adriana Martinez ◽  
Gerardo Haces
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Business Processes ◽  
Decision Making Process ◽  
Manufacturing Companies ◽  
Manufacturing Firm ◽  
Production Factors ◽  
Ac Motors ◽  
Selection Of

The analysis of large volumes of data is an important activity in manufacturing companies, since they allow improving the decision-making process. The data analysis has generated that the services and products are personalized, and how the consumption of the products has evolved, obtaining results that add value to the companies in real time. In this case study, developed in a large manufacturing company of electronic components as robots and AC motors; a strategy has been proposed to analyze large volumes of data and be able to analyze them to support the decision-making process; among the proposed activities of the strategy are: Analysis of the technological architecture, selection of the business processes to be analyzed, installation and configuration of Hadoop software, ETL activities, and data analysis and visualization of the results. With the proposed strategy, the data of nine production factors of the motor PCI boards were analyzed, which had a greater incidence in the rejection of the components; a solution was made based on the analysis, which has allowed a decrease of 28.2% in the percentage of rejection.

Implementing an integrated ABC and TOC approach to enhance decision making in a Lean context

2014 ◽  
Vol 31 (8) ◽  
pp. 906-920 ◽  
Author(s):  
Majed Alsmadi ◽  
Ahmad Almani ◽  
Zulfiqar Khan
Keyword(s):  
Decision Making ◽  
Management Accounting ◽  
Real Life ◽  
Future Research ◽  
Research Approach ◽  
Accounting System ◽  
Product Mix ◽  
Content Type ◽  
Action Research Approach

Purpose – The purpose of this paper is to implement an integrated activity-based costing (ABC) and theory of constraints (TOC) approach to enhance decision making in a Lean company. Design/methodology/approach – Based on the literature, this paper proposes an integrated ABC and TOC approach and applies it to a Lean plastic manufacturing company to improve its product-mix decision. Findings – The results of the case study show that the current conventional product-mix decision used by the company and the proposed integrated approach can give significantly different results concerning the optimal product-mix and the associated bottlenecks. Moreover, the paper suggests that managers who implement Lean production without utilising a supportive management accounting system may experience disappointing financial results. Research limitations/implications – The validation of the suggested method is based on a single case study with an action research approach. For future research, the authors suggest the implementation of the approach in different industries. Practical implications – Overall, the integration of ABC and TOC provides managers with an accurate, timely and reliable tool that can help in making decisions about pricing, production line development, process improvements and product-mix. Originality/value – This paper contributes to Lean and management accounting literature by demonstrating the value of a method of integrating ABC and TOC. Also a case study is chosen for the empirical aspect of the study as there are no case studies available in the literature that illustrate a real life case of integrating ABC and TOC within Lean companies as an alternative to the current used cost accounting systems.

Decision-making when organising facilities for a school: a participatory action research approach

Facilities ◽  
2020 ◽  
Vol 38 (13/14) ◽  
pp. 913-926 ◽  
Author(s):  
Ulrika Uotila ◽  
Arto Saari ◽  
Juha-Matti Junnonen
Keyword(s):  
Decision Making ◽  
Action Research ◽  
Project Planning ◽  
Research Approach ◽  
Final Decision ◽  
Public Authorities ◽  
Content Type ◽  
Action Research Approach ◽  
Alternative Solutions

Purpose Public authorities are required to organise new facilities to respond to changed user demands in terms of a public-owned school. The number of pupils attending the case study school will increase in the following years, as will the number of children attending a day nursery located on the present campus. In addition, the users of the campus have complained of building-related symptoms. This study aims to understand the municipal decision-making process in organising the school’s facilities, in particular, the factors used for decreasing uncertainty around a project. Design/methodology/approach This study is a case study undertaken through an action research approach. The researchers participated in the project planning meetings concerning the future activities to take place in the building. Findings Over a 13-month period, multiple stakeholders participated in the project planning meetings providing a deeper understanding of the space demands posed, current challenges and opportunities offered by the existing building. In addition, the alternative solutions generated were evaluated. The problem identification and information gathering periods lasted over nine months, which was far longer than predicted. Thus, generating alternative solutions and evaluation of the solutions also delayed. As the entire process was delayed substantially, the final decision on organising the facilities was not made during this research. Practical implications This research may be of practical value for a property owner and a project team for decision-making concerning changed facility demands. Originality/value This paper provides information about how public authorities are making decisions on facility organisation during conditions of uncertainty.

A multi-criteria decision framework for the selection of low carbon building measures for office buildings in Hong Kong

2014 ◽  
Vol 8 (4) ◽  
pp. 456-476 ◽  
Author(s):  
Simou Zhang ◽  
Wei Pan ◽  
Mohan Kumaraswamy
Keyword(s):  
Decision Making ◽  
Hong Kong ◽  
Office Buildings ◽  
Office Building ◽  
Low Carbon ◽  
Decision Framework ◽  
Content Type ◽  
Building Project ◽  
Selection Of

Purpose – This paper aims to develop a multi-criteria decision framework (MCDF) for the selection of appropriate low carbon building (LCB) measures for office buildings in Hong Kong. Design/methodology/approach – The research was carried out through a critical literature review and a case study with a low carbon office building project. Findings – In total, 26 LCB measures were identified, under the five groups of building envelope, heating, ventilating and air conditioning system, lighting and elevators, renewable energy and appliances. Also identified were 16 decision criteria, centred on the implementation-related, economic, environmental and production-related aspects. The identified measures and criteria, coupled with the information and business processes of office building project delivery, formed the conceptual MCDF. The MCDF was also verified using an office building project. Research limitations/implications – The limitation of this research was the absence of the energy bill which could help to further verify the model in the case study. Originality/value – The developed framework should add value to knowledge of the use of multi-criteria decision-making methods and support the design decision-making of selecting LCB measures for office building projects in Hong Kong. The findings should also inform LCB design in other hot and humid subtropical urban environments.

Maintenance strategy selection using AHP and ANP algorithms: a case study

2012 ◽  
Vol 18 (1) ◽  
pp. 16-29 ◽  
Author(s):  
Selim Zaim ◽  
Ali Turkyılmaz ◽  
Mehmet F. Acar ◽  
Umar Al‐Turki ◽  
Omer F. Demirel
Keyword(s):  
Decision Making ◽  
General Purpose ◽  
Strategy Selection ◽  
Maintenance Strategy ◽  
Maintenance Strategies ◽  
Content Type ◽  
Network Process ◽  
Practical Implications ◽  
Selection Of

PurposeThe purpose of this paper is to demonstrate the use of two general purpose decision‐making techniques in selecting the most appropriate maintenance strategy for organizations with critical production requirements.Design/methodology/approachThe Analytical Hierarchical Process (AHP) and the Analytical Network Process (ANP) are used for the selection of the most appropriate maintenance strategy in a local newspaper printing facility in Turkey.FindingsThe two methods were shown to be effective in choosing a strategy for maintaining the printing machines. The two methods resulted in almost the same results. Both methods take into account the specific requirements of the organization through its own available expertise.Practical implicationsThe techniques demonstrated in this paper can be used by all types of organizations for selecting and adopting maintenance strategies that have higher impact on maintenance performance and hence overall business productivity. The two methods are explained in a step‐by‐step approach for easier adaptation by practitioners in all types of organizations.Originality/valueThe value of the paper is in applying AHP and ANP decision‐making methodologies in maintenance strategy selection. These two methods are not very common in the area of maintenance, and hence add to the pool of techniques utilized in selecting maintenance strategies.

International market selection: an application of hybrid multi-criteria decision-making technique in the textile sector

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Juan Gabriel Vanegas-López ◽  
Jose Jaime Baena-Rojas ◽  
Diego Alejandro López-Cadavid ◽  
Manoj Mathew
Keyword(s):  
Decision Making ◽  
Hybrid Approach ◽  
International Market ◽  
International Markets ◽  
Export Market ◽  
New Markets ◽  
Content Type ◽  
Textile Sector ◽  
Selection Of

Purpose The selection of an international market (IMS) is a prime factor in the success and growth of a company. Therefore, the purpose of this study is to consolidate and apply a systematic methodology that contributes toward the evaluation of international markets and promotes entry into the export market of Antioquia’s textile companies. Design/methodology/approach Through a systematic literature review, the criteria and sub-criteria involved in the IMS process are identified and a total of 5 general criteria and 23 sub-criteria are selected. A hybrid approach is used to address the gap. In total, a multiple case study of 11 companies from different range of export values are selected. Data analysis is conducted using two multiple criteria decision-making (MCDM) models, namely, the analytic hierarchy process for weighting the factors and the technique for order of preference by similarity to the ideal solution for the country selection ranking. Findings The results demonstrate the applicability of the hybrid MCDM technique to improve IMS decision-making in the textile sector and other sectors. It is found that Canada, Belgium and the UK are the best destinations for textile exports with a selection score of 0.7716, 0.7488 and 0.7337, respectively. The sub-criteria belonging to the dimensions of trade barriers, economic factors and costs are the main factors affecting the export of a textile-clothing product. Research limitations/implications The possibility of achieving a generalized result through this case study is not possible, but the methodological application carried out is a novel for the selection of markets in the Colombian case and within the literature available in the domain. Practical implications From the managerial point of view, firms associated with trade have a broader vision when looking for new markets. Emerging entrepreneurs can equip themselves to enter the international market. Practitioners and policymakers can also use this methodology, which will allow them to evaluate new markets to outline promotional strategies for positioning products abroad. Social implications To facilitate the selection of international markets for enterprises. Originality/value The contribution of the study is twofold. First, the combination of techniques will allow wider support for the selection of markets and act as a decision support system. On the other hand, this is the first time that such a methodology is used for IMS in the exporting sector not only in Colombia but also in Latin America. Finally, the detailed methodological process described in the study allows both academicians and decision-makers to replicate the study in other contexts and scenarios.

Selecting research approaches and research designs: a reflective essay

2017 ◽  
Vol 17 (2) ◽  
pp. 99-112 ◽  
Author(s):  
Nurdiana Gaus
Keyword(s):  
Social Sciences ◽  
Design Methodology ◽  
Research Process ◽  
Research Approach ◽  
Content Type ◽  
Research Designs ◽  
Research Findings ◽  
Reflective Essay ◽  
Selection Of

Purpose The purpose of this paper is to show the research process which is laid on the interrelated aspects of paradigm-research-based approaches and research designs. Design/methodology/approach It draws on my PhD research project experience, where I deployed these interrelated aspects informing my methodological perspective to produce quality research via the generation of legitimate research findings. Findings From this practice, my chosen held paradigm, constructionism, has guided me to proceed with my research process, leading to the selection of a research approach (qualitative case study) and research designs (interviews, observation, and document analysis). Originality/value This conduct helps valorise the legitimacy of my research findings to produce legitimate knowledge. This reflective account of the research process can become a lesson for others who wish to go through a legitimate process of selecting the research approaches and research designs, particularly, in social sciences.

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