Identification of barriers to PLM institutionalization in large manufacturing organizations

2019 ◽  
Vol 25 (6) ◽  
pp. 1335-1356 ◽  
Author(s):  
Shikha Singh ◽  
Subhas Chandra Misra
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Threshold Value ◽  
Laboratory Method ◽  
Product Lifecycle Management ◽  
Manufacturing Firm ◽  
Content Type ◽  
Aircraft Manufacturing ◽  
Manufacturing Organizations ◽  
Lifecycle Management

Purpose The purpose of this paper is to study the barriers to institutionalize the product lifecycle management (PLM) in large manufacturing organizations. The paper explores the hurdles and identifies the causal barriers to support the organizations’ transformation into digitized firms. Design/methodology/approach The paper utilized the multi-criteria decision making technique, i.e., DEMATEL (DEcision MAking Trial and Evaluation Laboratory) method to find the causal barriers, and adopted maximum mean de-entropy (MMDE) algorithm to determine the threshold value based on the information entropy of the relations among the barriers to PLM institutionalization. Findings This study explored nine barriers to PLM institutionalization and empirically identified the four critical barriers among the nine. Research limitations/implications The present work is exploratory case-based research which is limited to a case of an Indian aircraft manufacturing firm with a limited number of respondents. More sophisticated statistical tools can be utilized to consider the subjectivity of the respondents. However, this research explores the various hurdles to PLM success and serves as a relevant outcome to identify the critical barriers to institutionalize the PLM concept. Practical implications The findings of the paper provide guidelines to the case company and similar firms for obtaining maximum benefits of PLM. The methodology shown in this paper will be useful to various large scale industries in identifying the critical barriers to PLM institutionalization among all existing barriers so that they can take appropriate measures before they proceed to adopt PLM. Originality/value The present work discusses the different reasons for which the companies are not able to derive the maximum benefits of PLM even after the implementation of PLM systems. This work uniquely applied the DEMATEL and MMDE methods to investigate the critical barriers to PLM institutionalization in an aircraft manufacturing firm.

Sustainability performance assessment of an aircraft manufacturing firm

2018 ◽  
Vol 25 (5) ◽  
pp. 1500-1527 ◽  
Author(s):  
Alok Raj ◽  
Samir K. Srivastava
Keyword(s):  
Decision Making ◽  
Composite Index ◽  
Noise Emission ◽  
Manufacturing Firm ◽  
Content Type ◽  
Sustainability Performance ◽  
Quantitative Measurements ◽  
Aircraft Manufacturing ◽  
Wide Range

Purpose The purpose of this paper is to develop a composite index (CI) to evaluate the sustainability performance of an aircraft manufacturing firm using Fuzzy Best Worst Multi Criteria (FBWM) decision-making approach. It identifies a wide range of sub-dimensions and their attributes to measure sustainability in a multi-echelon supply chain. Design/methodology/approach FBWM, a hybrid multi-criteria decision making method, relies on multiple sub-dimensions and attributes for assessment of sustainability. Sub-dimensions and attributes are identified from a detailed literature review and inputs from 17 experts. The weights are evaluated using best worst method (BWM). Quantitative measurements are very difficult for attributes like living conditions, noise emission, etc., so the performance of attributes are assessed using Fuzzy logic. The proposed methodology is validated with the case study of a single unit of an Indian aircraft manufacturing firm. Findings Economic concerns emerge as the most influential dimension of sustainability in the aerospace sector. The results reveal that the firm considered in the case study is “Very Sustainable.” Firm’s performance ratings are excellent in three out of 79 attributes considered for the study. Further, 24 weaker (least performing) attributes are identified with the help of fuzzy performance index. These require managerial action for improvements. Research limitations/implications The present study is based on inputs from a small group of managers in a single firm in India. It can be extended to a large group of executives in other firms like Boeing, Airbus, etc. for testing the validity of the proposed methodology and generalization of the findings. Practical implications Managers, consultants and audit agencies can use the proposed CI developed in this paper for evaluating the sustainability performance of a firm. It assists managers to identify weaker attributes for which they may plan and prioritize their activities for improvements. Originality/value To the best of the authors’ knowledge, this is the first paper to measure sustainability in an aircraft manufacturing firm. The paper proposes a novel framework based on fuzzy BWM, for assessing sustainability performance.

The factors of consumer confidence recovery after scandals in food supply chain safety

2018 ◽  
Vol 30 (5) ◽  
pp. 1379-1400 ◽  
Author(s):  
Shuhui Wang ◽  
Paul Alexander
Keyword(s):  
Decision Making ◽  
Food Safety ◽  
Supply Chains ◽  
Large Scale ◽  
Deductive Reasoning ◽  
Consumer Confidence ◽  
Milk Formula ◽  
Extended Model ◽  
Content Type ◽  
Before And After

Purpose Viewing consumer confidence as a set of static factors has informed previous research and underpinned strategies used in recovering from food safety quality failures, but this approach has not delivered reliable and quick recovery from large-scale food safety scandals. The purpose of this paper is to examine extant models and the factors they are composed of, and suggest an extended model that has a better potential for consumer confidence. The paper focuses on food products where supply chains are visible, and use these features to group the findings. Design/methodology/approach In this study principal components and logit analyses are used to assess the role of 30 variables operating in a consumer confidence model constructed from several existing in the literature. This combined model considers emotional, cognitive, trust and sociodemographic factors. In total, 14 independent factors are identified. The authors examine the factors, and from these, the decision-making mechanisms before and after the Sanlu Infant Milk Formula (IMF) scandal of 2008. Findings The authors find that the factors considered by consumers are different for different IMF supply chains, and different again before and after the scandal. The authors develop the argument for an extension to the existing models, incorporating a dynamic consumer confidence system. Research limitations/implications The paper uses a single survey after the focus event to establish “before” and “after” decision-making factors. Since the IMF scandal is recent and of very high profile, this is likely valid even if it carries memory bias effects. The study is directly applicable to food safety scandals in a Chinese context. Deductive reasoning extends our assertions to a wider context. They are logically validated but have not been formally tested. Practical implications Using this system as a framework a checklist for recovery from a similar food safety scandal is suggested. The authors also suggest more general use for use where supply chains features are visible to consumers. Originality/value Models for food safety consumer confidence recovery have previously focused on identifying models and the static factors they consist of. These do represent a reflection of how this phenomenon operates, but using the principals of this model nevertheless does not result in good recovery from extreme food safety failures. This paper contributes by extending these models to one that can be applied for better recovery.

Comprehensive identification of aircraft coordination feature based on complete importance modeling and its engineering application

2018 ◽  
Vol 38 (4) ◽  
pp. 398-411 ◽  
Author(s):  
Feiyan Guo ◽  
Fang Zou ◽  
Jian Hua Liu ◽  
Bo Zhao ◽  
Zhongqi Wang
Keyword(s):  
Engineering Application ◽  
Laboratory Method ◽  
Correction Coefficient ◽  
Assembly Process ◽  
Quality Loss ◽  
Content Type ◽  
Aircraft Manufacturing ◽  
Close Relationship ◽  
Geometric Size ◽  
Assembly Precision

Purpose Coordination feature (CF) is the information carrier in dimension and shape transfer process in aircraft manufacturing. The change of its geometric size, shape, position or other attributes would affect the consistency of accumulated errors between two or more assemblies. To identify these “key characteristics” that have a close relationship with the assembly precision, a comprehensive method was developed under digital manufacturing environment, which was based on importance calculation. The multi-hierarchy and multi-station assembly process of aircraft products were also taken into consideration. Design/methodology/approach First, the interaction and evaluation relationship between components at different manufacturing stages was decomposed with a hierarchical net. Second, to meet coordination accuracy requirements, with the integrated application of Taguchi quality loss function, accuracy principal and error correction coefficient H, the quality loss between target features and candidate features at adjacent assembly hierarchies were calculated, which was based on their precision variation. Third, the influence degree and affected degree of the features were calculated with DEMATEL (decision-making trial and evaluation laboratory) method, and the concepts of centrality degree index and cause degree index were proposed for calculating the complete importance degree to eventually identify the CFs. Findings Based on the proposed methodology, CFs, affecting the skin profile and the flush coordination accuracy, were successfully identified at different assembly hierarchies to a certain type of wing flap component. Originality/value Benefit results for the engineering application showed that the deviation of skin profile was more accurate than before, and the tolerance was also closer to the centerline of required assembly precision range. Moreover, the stability in the assembly process was increased by 26.9 per cent, which could bring a higher assembly quality and an enhancement on aircraft’s flight performance.

A new EDAS method based on prospect theory for Pythagorean fuzzy set and its application in selecting investment projects for highway

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peng Li ◽  
Ju Liu ◽  
Cuiping Wei ◽  
Jian Liu
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Bounded Rationality ◽  
Large Scale ◽  
Score Function ◽  
Critical Factor ◽  
High Grade ◽  
Content Type ◽  
Investment Projects ◽  
Criteria Weights

PurposeChina is a critical factor for constructing an all-round well-off society. Infrastructure construction, especially high-grade highways, in the western area is an essential component of the strategy for large-scale development of west China. It is crucial to evaluate investment projects for high-grade highways and select the best one. Testing investment projects and selecting the best one can be recognized as a multicriteria decision-making (MCDM) problem. In this process, decision-makers (DMs) usually face with uncertain information because of complicated decision environment or their limited knowledge.Design/methodology/approachA new Evaluation based on the Distance from Average Solution (EDAS) for PFS based on the DEMATEL is proposed: The authors offer a new score function and prove some properties for the score function. They put forward a novel Decision-making Trial and Evaluation Laboratory (DEMATEL) method for PFS to analyze the relations of criteria and get criteria weights. Considering the bounded rationality of DM, the authors propose a new EDAS method for PFS based on prospect theory. They apply their proposed approach to a western city's actual case in selecting a suitable project for building a high-grade highway.FindingsBy comparison, the authors can observe that our method has some traits: (1) considering bounded rationality of DM; (2) fewer computation; (3) having the ability to obtain the relation of criteria and finding the critical factor in the decision system.Originality/valueIn this paper, the authors propose a new EDAS method for PFS based on the DEMATEL technique. They transform PFS into crisp numbers by their proposed new score function for PFN to make the decision process more convenient. Then, the authors use the DEMATEL method to obtain the relationship between criteria and criteria weights. Furthermore, they propose a new EDAS method for PFS based on DEMATEL to reduce the computational complexity. Finally, they apply our method to a real case and compare our method with two traditional methods.

The impact of technological innovation upon servitization

2019 ◽  
Vol 30 (7) ◽  
pp. 1097-1114 ◽  
Author(s):  
Bang-Ning Hwang ◽  
Mu-Yen Hsu
Keyword(s):  
Service Delivery ◽  
Technological Innovation ◽  
Large Scale ◽  
Manufacturing Firms ◽  
Multivariate Logistic Regression Model ◽  
Technological Innovations ◽  
Manufacturing Firm ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose For most manufacturing firms, technological innovations are usually the key strategies to gain their competitive advantages. However, competing strategically through service provision is becoming an important strategy for most industries. A growing demand for packaged product and service delivery is blurring the traditional boundaries between manufacturing and service firms. This trend is called “servitization.” Prior research had different perspectives on the relationship between technological innovations and servitization. Some argued that as servitization exerts the innovative convergence of products and services, the possession of appropriate readiness and absorption capacity through technological innovations for a manufacturing firm is critical to the success of servitization. In contrast, some argued that the knowledge gained from developing technological innovations cannot be applied to the creation of services due to the fundamental difference between technology and service. These contradicting arguments motivated the authors to study the relationship between technological innovations and servitization a step further. The paper aims to discuss these issues. Design/methodology/approach To address the research gap, the authors conducted an empirical study based on the large-scale samples from the second Taiwan Community Innovation Survey (Taiwan CIS). A multivariate logistic regression model was applied in the research. Findings The authors found that different types of technological innovations, namely product innovation and process innovation, have different impacts on servitization. The innovativeness level of the technological innovation moderates the relationship between technological innovation and servitization. Based on the above findings, this research specifically explains the causes of the contradictory results of the prior research. Originality/value The values of this research are twofold. Its academic contribution rests on bridging the literature of innovation and servitization, and on providing a model to clarify the relationships among technological innovation type, level of innovativeness and servitization. Its practical contribution lies in its establishment of a guideline that illuminates manufacturing firms reinforcing service delivery through their existing technological innovation trajectory.

scholarly journals A novel simulation framework for crowd co-decisions

2020 ◽  
Vol 4 (1) ◽  
pp. 2-16
Author(s):  
Xia Yao ◽  
Hongbo Sun ◽  
Baode Fan
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Rapid Development ◽  
Content Type ◽  
Voting Rule ◽  
The Social ◽  
Crowd Intelligence ◽  
Large Scale Simulations ◽  
Public Decision ◽  
Public Decision Making

Purpose The purpose of this paper is to aim mainly at social public decision-making problems, studies the corresponding relationship between different voting rule combinations and the final results, and discusses the quantitative relationships between group intelligence (final votes) and individual intelligence (everyone) to defend democracy under the circumstance of rapid development of network technology, and crowd intelligence becomes more complicated and universal. Design/methodology/approach After summarizing the crowd co-decisions of related studies, the standards, frameworks, techniques, methods and tools have been discussed according to the characteristics of large-scale simulations. Findings The contributions of this paper will be useful for both academics and practitioners for formulating VV&A in large-scale simulations. Originality/value This paper will help researchers solve the social public decision-making problems in large-scale simulations.

A case-based reasoning system for fault detection and isolation: a case study on complex gearboxes

2019 ◽  
Vol 25 (2) ◽  
pp. 213-235 ◽  
Author(s):  
Soumava Boral ◽  
Sanjay Kumar Chaturvedi ◽  
V.N.A. Naikan
Keyword(s):  
Decision Making ◽  
Fault Detection ◽  
Large Scale ◽  
Fault Detection And Isolation ◽  
Decision Making Process ◽  
Case Based Reasoning ◽  
Content Type ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Case Based

Purpose Usually, the machinery in process plants is exposed to harsh and uncontrolled environmental conditions. Even after taking different types of preventive measures to detect and isolate the faults at the earliest possible opportunity becomes a complex decision-making process that often requires experts’ opinions and judicious decisions. The purpose of this paper is to propose a framework to detect, isolate and to suggest appropriate maintenance tasks for large-scale complex machinery (i.e. gearboxes of steel processing plant) in a simplified and structured manner by utilizing the prior fault histories available with the organization in conjunction with case-based reasoning (CBR) approach. It is also demonstrated that the proposed framework can easily be implemented by using today’s graphical user interface enabled tools such as Microsoft Visual Basic and similar. Design/methodology/approach CBR, an amalgamated domain of artificial intelligence and human cognitive process, has been applied to carry out the task of fault detection and isolation (FDI). Findings The equipment failure history and actions taken along with the pertinent health indicators are sufficient to detect and isolate the existing fault(s) and to suggest proper maintenance actions to minimize associated losses. The complex decision-making process of maintaining such equipment can exploit the principle of CBR and overcome the limitations of the techniques such as artificial neural networks and expert systems. The proposed CBR-based framework is able to provide inference with minimum or even with some missing information to take appropriate actions. This proposed framework would alleviate from the frequent requirement of expert’s interventions and in-depth knowledge of various analysis techniques expected to be known to process engineers. Originality/value The CBR approach has demonstrated its usefulness in many areas of practical applications. The authors perceive its application potentiality to FDI with suggested maintenance actions to alleviate an end-user from the frequent requirement of an expert for diagnosis or inference. The proposed framework can serve as a useful tool/aid to the process engineers to detect and isolate the fault of large-scale complex machinery with suggested actions in a simplified way.

Branding for non-profits: explaining new donor decision-making in the charity sector

2019 ◽  
Vol 29 (5) ◽  
pp. 583-600
Author(s):  
Gary Gregory ◽  
Liem Ngo ◽  
Ryan Miller
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Brand Choice ◽  
International Aid ◽  
Brand Attitude ◽  
Mediating Effect ◽  
Communication Strategy ◽  
Dual Process ◽  
Content Type ◽  
New Donors

Purpose The purpose of this study develops and validates a model of new donor decision-making in the charity sector. Drawing upon dual process theory, the model incorporates brand salience and brand attitude as antecedents of brand choice intention, moderated by donor decision involvement. Design/methodology/approach Study 1 generates measures using interviews with marketing, media and research managers, and new donors from two international aid and relief organizations. Study 2 uses an experimental design to first test scenarios of disaster relief, and then validate and confirm a new donor decision model using large-scale consumer panels for the international aid and relief sector in Australia. Findings The results replicated across four leading international aid-related charities reveal that brand salience is positively related to brand choice intention through the mediating effect of brand attitude. Furthermore, the effect of brand salience on brand choice intention is significantly stronger when donor decision involvement is low. Conversely, the effect of brand attitude on brand choice intention is stronger for higher levels of donor decision involvement. Practical implications Managers should understand the importance of brand salience/attitudes and the implications for the communication strategy. Managers should also strive to understand the level of decision involvement and the relative influence of brand attitude/salience on brand choice intention. Originality/value This study advances the literature on charitable giving by proposing and testing a moderated mediation model of donor choice when selecting a charity for donation. Findings provide new insights into the extent to which brand salience, brand attitude and donor decision-making influence how new donors choose between charities for donation.

Strategic impact of SCM and SCQM practices on competitive dimensions of Indian manufacturing industries

2019 ◽  
Vol 31 (5) ◽  
pp. 696-721 ◽  
Author(s):  
Mandeep Kaur Sidhu ◽  
Kanwarpreet Singh ◽  
Doordarshi Singh
Keyword(s):  
Business Performance ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Discriminant Validity ◽  
Research Work ◽  
Manufacturing Industries ◽  
Combined Approach ◽  
Total Quality ◽  
Content Type ◽  
Manufacturing Organizations

Purpose The purpose of this paper is to evaluate the capabilities of total quality management (TQM) and supply chain management (SCM) and extract various significant factors which influence the implementation of SCM alone and synergy of both TQM–SCM in terms of business performance of Indian medium and large scale manufacturing industry. Design/methodology/approach In the present study, 116 Indian manufacturing organizations have been extensively surveyed to ascertain the inter-relationships between various success factors and competitive dimensions of SCM alone and for combined approach (TQM–SCM), through different statistical techniques. Further, to evaluate the significance of time period on competitive dimensions, two-tailed t-test has been deployed. Finally the discriminant validity test has been applied to extract highly successful and moderately successful organizations for both approaches. Findings The study compares the contributions played by only SCM initiatives and combined approach (TQM–SCM) initiatives toward realization of significant improvements of various competitive dimensions of Indian manufacturing organizations. Finally, this study reveals that synergistic relationship of TQM and SCM paradigms can be more helpful as compared to only SCM initiatives for Indian manufacturing industries to enhance overall business performance. Originality/value TQM and SCM are considered as performance improvement techniques by the manufacturing organizations. The present research work establishes that combined (TQM–SCM) initiatives have effectively contributed for realization of significant competitive dimensions, progressively from introduction to maturity phases. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of TQM and SCM paradigms to enjoy higher potential of business performance.

The role of hierarchical production planning in food manufacturing SMEs

2015 ◽  
Vol 35 (10) ◽  
pp. 1362-1385 ◽  
Author(s):  
Seamus O'Reilly ◽  
Anita Kumar ◽  
Frédéric Adam
Keyword(s):  
Decision Making ◽  
Production Planning ◽  
Large Scale ◽  
Product Variety ◽  
Food Manufacturing ◽  
Content Type ◽  
Hierarchical Production Planning ◽  
Trade Offs ◽  
Internal Integration

Purpose – In recent years there has been an increasing interest in make-to-stock and make-to-order combined strategies in food manufacturing operations. However, most scholarly work to-date has neglected the role of hierarchical production planning (HPP) in guiding small- and medium-sized enterprise (SME) implementation of such strategies. The purpose of this paper is to address food SME manufacturers’ readiness to adopt such strategies, in terms of internal integration and their capability to adopt formalised planning approaches. Design/methodology/approach – This study adopted an action research methodology to explore the potential impact of HPP in SME food manufacturers. Selected companies had identified product variety management as a challenge and also had recognised the need to enhance internal integration. Given this, the research team, from a theoretical perspective, proposed the use of HPP set within a broader decision-making conceptual framework to improve internal integration and planning. Findings – This paper adopts the fundamental position that HPP provides a useful framework in the establishment of strategic and tactical level constraints and priorities which then act as specific guides at the operational level, and presents empirical evidence in a food SME manufacturing context. In the cases the authors studies, the cascading effect of this decision-making framework focused attention on key metrics, encouraged greater internal integration and delivered tangible, significant improvements in performance. This was greatly facilitated by the provision of new key data on the cost of certain managerial trade-offs which these firms faced. Originality/value – SMEs are of a scale that requires a formalised planning approach; however production planning systems are typically designed for large scale enterprises. This paper addresses the need of SMEs in this regard. Well-established supply chain metrics were used to establish the benefits of both HPP and resulting improvement in internal integration and beyond, in terms of improvement in the quality of planning decisions.

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