scholarly journals Multi-Criteria Decision Making for Sustainability and Value Assessment in Early PSS Design

2019 ◽  
Vol 11 (7) ◽  
pp. 1952 ◽  
Author(s):  
Marco Bertoni
Keyword(s):  
Decision Making ◽  
Environmental Benefits ◽  
Business Strategies ◽  
Multi Criteria Decision Making ◽  
Value Assessment ◽  
A Value ◽  
Key Innovation ◽  
Trade Offs ◽  
Product Service ◽  
Multiple Case

Sustainability is increasingly recognized as a key innovation capability in the organization. However, it is not always evident for manufacturers how sustainability targets shall be “mixed and matched” with more traditional objectives—such as quality, time, cost, and performances—when designing and developing solutions. The emergence of “servitization” and product-service systems (PSS) further emphasizes the need for making thoughtful trade-offs between technical aspects, business strategies, and environmental benefits of a design. The objective of this paper is to investigate how multi-criteria decision making (MCDM) models shall be applied to down-select PSS concepts from a value perspective, by considering sustainability as one of the attributes of a design contributing to the overall value of a solution. Emerging from the findings of a multiple case study in the aerospace and construction sector, the paper presents a five-step iterative process to support decision making for sustainable PSS design, which was further applied to design an electrical load carrier. The findings show that the proposed approach creates a “hub” where argumentations related to “value” and “sustainability” of PSS solution concepts can be systematically captured in a way that supports the discussion on the appropriate quantification strategy.

OP83 Value Assessment Framework: Evidence-Informed Deliberative Processes

2017 ◽  
Vol 33 (S1) ◽  
pp. 38-38
Author(s):  
Marcia Tummers ◽  
Rob Baltussen ◽  
Maarten Jansen ◽  
Leon Bijlmakers ◽  
Janneke Grutters ◽  
...  
Keyword(s):  
Decision Making ◽  
Priority Setting ◽  
Stakeholder Involvement ◽  
Value Assessment ◽  
Assessment Framework ◽  
Accountability For Reasonableness ◽  
A Value ◽  
Public Scrutiny ◽  
The One ◽  
Deliberative Processes

INTRODUCTION:Priority setting in health care has been long recognized as an intrinsically complex and value-laden process. Yet, Health Technology Assessment (HTA) agencies presently employ value assessment frameworks that are ill-fitted to capture the range and diversity of stakeholder values, and thereby risk to compromise the legitimacy of their recommendations. We propose ‘evidence-informed deliberative processes’ as an alternative framework with the aim to enhance this legitimacy.METHODS:The framework is based on an integration of two increasingly popular and complementary frameworks for priority setting: multi-criteria decision analysis (MCDA) and accountability for reasonableness (A4R), Evidence-informed deliberative processes are, on the one hand, based on early, continued stakeholder deliberation to learn about the importance of relevant social values. On the other hand, they are based on rational decision-making – through evidence-informed evaluation of the identified values.RESULTS:The framework has important implications for how HTA agencies should ideally organize their processes. Firstly, HTA agencies should take the responsibility to organize stakeholder involvement. Second, agencies are advised to integrate their assessment and appraisal phase, allowing for the timely collection of evidence on values that are considered relevant. Third, HTA agencies should subject their specification of decision-making criteria to public scrutiny. Fourth, agencies are advised to use a checklist of potentially relevant criteria, and to provide argumentation how each criterion affected the recommendation. Fifth, HTA agencies must publish their argumentation and install options for appeal.CONCLUSIONS:Adopting ‘evidence-informed deliberative processes’ as a value assessment framework could be an important step forward for HTA agencies to optimize the legitimacy of their priority setting decisions. Agencies can incorporate elements according to their needs and affordances.

scholarly journals Comparison of Fuzzy Multi-Criteria Decision-Making Methods to Rank Business Strategies and Marketing Resources

2020 ◽  
Vol 12 (3) ◽  
pp. 101-114
Author(s):  
Amirhossein Tohidi ◽  
◽  
Mohammad Ghorbani ◽  
Ali-Reza Karbasi ◽  
Ahmadreza Asgharpourmasouleh ◽  
...  
Keyword(s):  
Decision Making ◽  
Business Strategies ◽  
Multi Criteria Decision Making ◽  
Marketing Resources

scholarly journals IDENTIFYING AND PRIORITIZING COST REDUCTION SOLUTIONS IN THE SUPPLY CHAIN BY INTEGRATING VALUE ENGINEERING AND GRAY MULTI-CRITERIA DECISION-MAKING

2020 ◽  
Vol 26 (6) ◽  
pp. 1311-1338 ◽  
Author(s):  
Jalil Heidary Dahooie ◽  
Seyyed Jalaladdin Hosseini Dehshiri ◽  
Audrius Banaitis ◽  
Arūnė Binkytė-Vėlienė
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Value Engineering ◽  
Multi Criteria Decision Making ◽  
Team Members ◽  
A Value ◽  
Cost Criterion ◽  
Engineering Team ◽  
Supply Chain Cost Management ◽  
The Cost

Value engineering is an appropriate policy for creating and improving value, which reduces unnecessary costs and maintains core functionality. Despite the mentioned benefits, this approach has so far received little attention in the area of supply chain management. Although this approach is highly structured, limitations such as overemphasizing the cost criterion and failure to meet other criteria, utilizing team members’ votes to rank solutions, ignoring inherent uncertainty and ultimately disagreement between value engineering team members have reduced the effectiveness of this approach. The present study aims to provide a coherent framework for utilizing a value engineering approach to supply chain cost management and overcome the aforementioned limitations by utilizing gray multi-criteria decision-making. In this regard, in the first phase, the initial list of improvement solutions is determined, the criteria extracted from the literature are localized using value engineering team members’ opinion. These criteria are weighted using the gray stepwise weight assessment ratio analysis (SWARA-Gray) method. Then, the score of each solution is calculated by the value engineering team based on the list of criteria as a gray number. The scores are aggregated using the gray evaluation based on distance from average solution (EDAS-Gray) method, and the solutions are prioritized. Finally, the application of the proposed framework is investigated in a real case study in a power plant in Iran. The results of the research show that the final rankings of the solutions rarely changed for different methods; so the model used in this study has acceptable stability.

“8A” framework for value stream selection – an empirical case study

2018 ◽  
Vol 31 (5) ◽  
pp. 1001-1026 ◽  
Author(s):  
Gopalakrishnan Narayanamurthy ◽  
Anand Gurumurthy ◽  
Roger Moser
Keyword(s):  
Decision Making ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Case Study Methodology ◽  
Content Type ◽  
Value Stream ◽  
A Value ◽  
Educational Institute ◽  
Case Organization

Purpose Before initiating the implementation of change for transforming and improving an organization through lean thinking (LT), it has to first select a right value stream. Several implementation studies have been documented in literature, but not many studies have addressed this issue of value stream selection. The purpose of this paper is to propose and empirically validate a framework for selecting a value stream to implement LT. Design/methodology/approach 8A framework is proposed by reviewing the literature on LT implementation case studies. Single case study methodology has been adopted to validate the application of 8A framework for selecting a value stream in an Indian educational institute. Since multiple qualifiers are considered simultaneously, a multi-criteria decision-making approach has been employed for choosing the value stream. Findings Utility of the proposed 8A framework for value stream selection was confirmed through its successful application in an educational institute. Out of three alternatives in the case organization, the teaching alternative was chosen for further LT implementation based on the application of 8A framework. Qualitative cross-validation and sensitivity analysis also confirmed the robustness of the value stream selection made using the 8A framework. Research limitations/implications Framework proposed in this study comprehensively captures the important qualifiers that were overlooked by the widely adopted first tenet of LT. Future research can attempt to generalize the applicability of 8A framework in different contexts including manufacturing, healthcare, software development, etc. A further study can be carried out in two similar case organizations or in two value streams of the same case organization (say in two different plants) to compare the differences in the outcome of lean implementation when one chooses its value stream for LT implementation without the application of the proposed framework, while another chooses it by applying the 8A framework. Practical implications Through structured evaluation of the comprehensive set of qualifiers in 8A framework using a multi-criteria decision making model, an informed decision can be taken by the practitioners in selecting a value stream from the available alternatives before proceeding with the implementation of LT. Originality/value After questioning the existing procedure of value stream selection for LT implementation, this study is the first to propose and validate an 8A framework that overcomes the limitations of the existing procedure. Study is also unique in the choice of the case organization as not many research papers have documented implementation of LT from the context of educational institutes.

scholarly journals The Model-Driven Decision Arena: Augmented Decision-Making for Product-Service Systems Design

Systems ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 22 ◽  
Author(s):  
Johan Wall ◽  
Marco Bertoni ◽  
Tobias Larsson
Keyword(s):  
Decision Making ◽  
Manufacturing Industry ◽  
Systems Design ◽  
Service Systems ◽  
Model Driven ◽  
Product Service ◽  
Engineering Team ◽  
Multiple Case ◽  
Product Service Systems

The shift towards Product-Service Systems (PSS) stresses the need to embed new and unique capabilities in Decision Support Systems, with the aim of helping the engineering team in handling the pool of information and knowledge available during decision events. Emerging from a multiple case study in the Swedish manufacturing industry, this paper describes the development of the Model-Driven Decision Arena (MDDA), an environment for collaborative decision-making that focuses on the early design phases of PSS. Based on the findings from multiple case studies, this paper illustrates the main goals of the MDDA, detailing its main functions, its physical environment, and its software architecture and models. This paper demonstrates the use of the MDDA in a case study related to the development of an asphalt compactor, presenting and discussing the results of verification activities conducted with industrial practitioners on the current MDDA prototype.

Adjusting Trade-Offs in Multi-Criteria Decision-Making Problems

2021 ◽  
pp. 1-19
Author(s):  
Siamak Kheybari
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Multi Criteria Decision Making ◽  
New Approach ◽  
Trade Off ◽  
Trade Offs ◽  
Lower Expectation ◽  
Decision Making Problem ◽  
Individual Criterion ◽  
The Individual

In multi-criteria decision-making (MCDM) methods, allowing trade-offs between the decision criteria may result in inappropriate conclusions. Allowing trade-offs implies that the weaknesses of an alternative in some criteria may be compensated by its strengths in other criteria. While, with some problems, there are no concerns with regard to allowing a full trade-off, in other cases, such a trade-off may not follow the actual decision-making problem. This paper proposes a new approach based on defining an upper and lower expectation level for each decision-making criterion. Indeed, the proposed approach is a framework by which the requirements of a decision-maker are considered in the criteria involved in MCDM problems. That distinction generates two primary and secondary performance matrices. The primary matrix includes the values of the alternatives with respect to the individual criterion up to the upper expectation levels of the decision-maker, while the secondary matrix, which is defined by the amounts above the upper levels and below the lower levels of the decision-maker’s expectations, contains each alternative in all the criteria and, to some extent, can exceed the upper levels of the decision-maker’s expectations. The final result of each alternative is calculated by adding its outcome in the two matrices. The results of a numerical example involving cellphone selection show how controlling the trade-offs could affect the results.

scholarly journals Penerapan Metode Weight Product (WP) Untuk Menentukan Pengalokasian Pendistribusian Telur Terbaik Di Kecamatan Pantai Labu

2021 ◽  
Vol 4 (1) ◽  
pp. 14-19
Author(s):  
Prawita Ardella ◽  
Paska Marto Hasugian
Keyword(s):  
Decision Making ◽  
Customer Service ◽  
Multi Criteria Decision Making ◽  
Service Levels ◽  
Important Thing ◽  
A Value ◽  
Egg Distribution ◽  
Matrix Manipulation ◽  
Multi Criteria Analysis ◽  
The Right

Distribution is an important thing in business activities, especially for distribution companies or distributors. Delays in distribution will reduce customer service levels. The method used is WP (Weighted Product), because Weighted product is one of the right choice of method to solve complex problems and Weighted Product can produce structured calculations on problems that have sub-sub-criteria for the decision to be built. from this research is to determine the best egg distribution location in the pumpkin beach district using the Weighted Product (WP) method. The Weighted Product (WP) method is a multi-criteria analysis decision and is a multi-criteria decision-making method. WP is a set of alternative decisions described in terms of several criteria. In the WP method there is no need for matrix manipulation because this method multiplies the assessment results of each attribute. The results of the research are based on the results of the ranking using the Weighted Product (WP) method to determine the best distribution location in the pumpkin beach district, so the greatest value is Grosir 2 with a value of 0.2309 which can be chosen to be the best distribution location. weights so that they can be used with that method.

scholarly journals Environmentally Conscious Least Cost Multi-Criteria Decision Making for Modeling Railway Network for Eritrea

2021 ◽  
Vol 16 (3) ◽  
pp. 427-436
Author(s):  
Michael Mengisti ◽  
Tekleab Gala ◽  
Girma Birru
Keyword(s):  
Decision Making ◽  
Regional Integration ◽  
Environmental Benefits ◽  
Multi Criteria Decision Making ◽  
Railway Transportation ◽  
Urban Centers ◽  
Railway Network ◽  
Environmentally Conscious ◽  
The North ◽  
Railway System

A proper development of railway transportation is critical for sustainable socio-economic and environmental benefits. Nonetheless, in Eritrea, a country that once had a vibrant railway system, it is currently nonfunctional. There are also ambitious sectoral investments in neighboring Ethiopia and Sudan, pressing Eritrea to revitalize its decimated railway transportation system. Therefore, this study used population settlement pattern, environmental and physical criteria as inputs to a least-cost multi-criteria decision-making for modeling the railway network for Eritrea. Accordingly, seven railway routes, covering a total of 1, 610 km distance, were modeled. Four are running in the north-to-south directions, while three are running in the east-to-west directions. This railway network will give services to 5 out of 6 Eritrean’s administrative regions, where 93% of the estimated 5.8 million people reside. Additionally, it will service the 21 urban centers, where an estimated population of 1,658,749 live; approximately 70% of Eritrea’s urban population. Besides, it shall boost regional integration, peace, and development thereof, in an otherwise conflict-ravaged geographical region.

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