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In the automotive industry, the high process complexity becomes an important issue because of the increased number of product and process variants demanded by the customers. To avoid quality defects in assembly and losses in such a complex manufacturing environment, new predictive support systems are required. This study aims to develop a multiple attribute decision support system (DSS) for the prediction and quantification of the risk of failures on the workstations of a leading Turkish automotive manufacturing company.

Initially, the factors affecting the failures in workstations and the attributes to evaluate the factors are identified. Subsequently, the relations among the attributes are specified and priorities of them are calculated. Finally, the risk of failures is calculated and tested in a pilot study and validated with real production data.

To the best of authors’ knowledge, this is a unique study that computes the risk scores on the workstations via DSS. The DSS has various advantages for improvements of the manufacturing quality: the risk of failures can be detectable and comparable, the effect of changes in the design of new workstations can be observed. Stations that have medium or high complexity scores demonstrated strong correlation with failure rates. A sensitivity analysis is conducted to predict the effect of improvement actions on the riskiness of the workstations.

High level of production complexity becomes a crucial issue for companies that use various production processes. Considering this fact, it is a requirement for companies to observe and monitor the risk factors, especially in the assembly lines to be able to eliminate failures derived from complexity. Accordingly, to measure risk scores of the workstations in the assembly lines, a decision support for companies aids executives to manage the complexity level in a reliable and effective way. In this study, the authors develop such a DSS for TOFAS, a leading Turkish automotive company. The proposed DSS is verified and applied through a pilot study on a specific basic production unit. A sensitivity analysis is also conducted to see the effects of potential improvements on the risk scores. Additionally, the trend of risk scores for the stations can also give valuable information for tracing the changes in the time horizon. The proposed DSS also enables an opportunity for the executives in their decision of design processes of new production lines by allocating limited resources in an appropriate way based on the risk scores of possible workstations. The proposed DSS is the first and unique proactive failure prevention model developed in a Fiat Chrysler Automobiles (FCA) plant across the world. TOFAS executives also plan to introduce and enlarge the usage of the model to other FCA plants. It may also be possible to apply the model to other assembly lines in any sector. Another plan of the executives of TOFAS is developing a software, which manages each parameter, to constitute data to the DSS to run this system more instantly and effectively. Moreover, they can take integration actions of the software with world-class manufacturing problem management system that is currently in use in TOFAS.

Blood availability is critical for saving lives in various healthcare services. Ensuring blood availability can only be achieved through efficient management of the blood supply chain (BSC). A key component of the BSC is bloodmobiles, which are responsible for a significant portion of blood donation collections. The most crucial factor affecting the efficacy of bloodmobiles is their location selection. Therefore, detailed decision analyses are essential for the location selection of bloodmobiles. This study proposes a comprehensive approach to bloodmobile location selection for resilient BSCs.

This study provides a novel integration of the spherical fuzzy analytical hierarchy process (SF-AHP) and spherical fuzzy complex proportional assessment (SF-COPRAS) methodologies. In this framework, the criteria are weighted using SF-AHP. The alternatives are then evaluated using SF-COPRAS, employing criteria weights obtained from SF-AHP without defuzzification.

The results show that supply conditions and resilience are the most important criteria for a bloodmobile location selection. Additionally, the validation analyses confirm the stability of the solution.

This study presents several managerial implications that can aid mid-level managers in the BSC during the decision-making process for bloodmobile location selection. The critical factors revealed, along with their importance in choosing bloodmobile locations, serve as a comprehensive guide. Additionally, the framework proposed in this study offers decision-makers (DMs) an effective method for ranking potential bloodmobile locations.

This study presents the first application of multi-criteria decision-making (MCDM) for bloodmobile location selection. In this manner, several aspects of bloodmobile location selection are considered for the first time in the existing literature. Furthermore, from the methodological aspect, this study provides a novel SF-AHP-integrated SF-COPRAS methodology.

The tightening operations are one of the most critical operations in automotive assembly lines because of its direct impact on customer safety. This study aims to evaluate the major complexity drivers for manual tightening operations, correlate with real tightening failure data and propose mitigations to improve the complexity.

In the first stage, the complexity drivers for manual tightening operations were identified. Then, the relative importance of the risk attributes was defined by using pairwise comparisons questionnaire. Further, failure mode effect analysis–analytic hierarchy process (FMEA–AHP) and AHP ratings methods were applied to 20 manual tightening operations in automotive assembly lines. Finally, the similarities between the revealed results and the real failure rates of a Turkish automotive factory were examined and a sensitivity analysis was conducted.

The correlation between the proposed methods and manual tightening failure data was calculated as 83%–86%. On the other hand, the correlation between FMEA–AHP and AHP ratings was found as 92%. Poor ergonomics, operator competency and training, operator concentration-loose attention fatigue, manual mouthing before the tightening operation, frequent task changes, critical tightening sequence, positioning of the part and/or directional assembly were found relatively critical for the selected 20 tightening operations.

This is a unique study for the evaluation of the attributes for manual tightening complexity in automotive assembly lines. The output of this study can be used to improve manual tightening failures in manual assembly lines and to create low complexity assembly lines in new model launches.

Fierce competition in the airline industry compels airline companies to offer various services. Yet, while companies strive to become preferable, customers confront numerous airline selection indicators, and as such causes vagueness in human thinking that needs to be systematically and normatively resolved. Accordingly, the purpose of this paper is initially to establish a strategic decision model that incorporates key selection indicators, among hundreds of criteria, through a systematic approach. Subsequently, it also aims to investigate the relative importance of these indicators for passengers.

This research first utilises a comprehensive literature review to uncover key indicators used in airline selection. Afterwards, the outcome obtained from the first phase initiated the phase of determining the prioritisation of these key selection indicators, through the analytic hierarchy process (AHP) method, based on passengers’ judgments.

The outcome of structuring a strategic decision model reveals 32 key selection indicators to be mainly considered by passengers and these indicators are grouped under five dimensions in this paper. Then, the prioritisation results given by the AHP indicate that “price-related factors” and “customer satisfaction-related factors”, respectively, are more important dimensions for passengers while selecting the best airline company.

The proposed approach provides a novel way to identify and prioritise key airline selection indicators for different passengers, through using the AHP, as a response to the need of adopting a systematic and comprehensive manner with the inclusion of general industry norms. Within this scope, the established model and the prioritisation results can be used as a reference by both airline passengers during their decision-making processes and airline companies which aim for becoming more competitive.

The purpose of this study is to determine the relative importance of the usability and functionality factors for online auction and shopping web sites from the perspective of young consumers.

The Analytical Network Process (ANP) was used to analyse the relative importance of the usability and functionality factors.

The findings show that customers of online auction and shopping web sites give higher priority to usability and usability factors than to functionality, with navigation and interaction being the factors of highest relative importance.

First, customers assign higher priority to usability factors. Thus, early in the design phase, designers should attach more importance to navigation‐ and interaction‐related aspects of their web sites. Second, designers of web sites should include basic and advanced search options to increase the number of the web site users.

The study is the first to examine the relative importance of the usability and functionality factors of online auction and shopping web sites. Furthermore, the study fills this gap by identifying the complex interrelationships between various features of usability and functionality, and their impact on each other, by examining two Turkish online‐auction and shopping web sites.

Motivated by a lack of studies in graduate level supply chain education, this research aims to explore trends in supply chain‐related graduate programmes in Europe and to propose a framework for designing such programmes.

The authors determine “knowledge” and “skills” areas applicable to supply chain management (SCM) education and analyse supply chain‐related graduate programmes published by the European Logistics Association in 2004. They revisit the same programmes in 2011 to determine the recent situation and the trends. The authors use cluster analysis to reveal the similarities and differences among these programmes.

The authors find two distinct clusters: focused and diversified. Focused programmes offer modules in knowledge and skills areas apart from SCM at a negligible level and place more emphasis on SCM in 2011 when compared to 2004. Diversified programmes show a similar increase in the emphasis on SCM with more variety in the knowledge and skills areas.

The authors' findings are based on SCM programmes delivered in Europe and over two discrete time periods. Future research should seek to extend this analysis to other continents with larger samples and incorporate the industry perspective to determine the potential gap between what programmes offer and what industry requires.

SCM‐related graduate programmes continue to redefine themselves. Clustering predominantly serves the universities in re‐assessing and re‐engineering their programmes, helps prospective graduates in their selection process and assists managers in their recruitment practices.

This paper establishes a baseline for assessing SCM‐related graduate programmes with respect to the knowledge and skills they offer and introduces a framework that may serve as a starting point for the design and positioning of such programmes.

Authorities have set up numerous security checkpoints during times of armed conflict to control the flow of commercial and humanitarian trucks into and out of areas of conflict. These security checkpoints have become highly utilized because of the complex security procedures and increased truck traffic, which significantly slow the delivery of relief aid. This paper aims to improve the process at security checkpoints by redesigning the current process to reduce processing time and relieve congestion at checkpoint entrance gates.

A decision-support tool (clearing function distribution model [CFDM]) is used to minimize the effects of security checkpoint congestion on the entire humanitarian supply network using a hybrid simulation-optimization approach. By using a business process simulation, the current and reengineered processes are both simulated, and the simulation output was used to estimate the clearing function (capacity as a function of the workload). For both the AS-IS and TO-BE models, key performance indicators such as distribution costs, backordering and process cycle time were used to compare the results of the CFDM tool. For this, the Kerem Abu Salem security checkpoint south of Gaza was used as a case study.

The comparison results demonstrate that the CFDM tool performs better when the output of the TO-BE clearing function is used.

The efforts will contribute to improving the planning of any humanitarian network experiencing congestion at security checkpoints by minimizing the impact of congestion on the delivery lead time of relief aid to the final destination.

Research on purchasing managers and their skills requirements supports the training and education of purchasing professionals. This paper offers an in-depth analytical review of the purchasing skills reported in the supply chain management (SCM) literature. The purpose of this paper is to highlight the most important skills and factors that influence these skills.

This paper employs a systematic literature review methodology. Two databases, Scopus and Web of Science, are searched for relevant articles. The selected journal articles are used as sources to obtain a view not only on the relevant purchasing and supply management (P/SM) skills, but also on factors that emphasize certain P/SM skills. This paper also summarizes the ten skills ranked as most important (often described as the “top ten”) among the sample articles.

The paper highlights the essential skills for purchasing professionals, verified both by their frequent appearances in rankings and by citation frequency in the literature. Generic managerial skills, such as communication, cost analysis, teamwork, problem-solving, negotiation, influencing, and persuasion, as well as information technology skills, received the most attention in the literature and rankings of the “top ten” P/SM skills. This paper provides a refined categorization of purchasing skills, which have merged recently with other discussed skills, such as political and entrepreneurial ones, into this categorization. This paper identifies factors that affect purchasing managers’ skills requirements.

This paper presents a structured overview of 57 peer-reviewed articles from high-quality journals about purchasing skills. The review contributes to the purchasing skills literature by showing the most relevant skills and the factors that influence skills requirements. These factors also provide arenas for further research related to purchasing skills.

This study aims to explore and present discussions regarding the interconnectedness of procurement fraud, supply chain education, professional maturity and ethics, and their relevance to adopting a transcendence concept as well as proposing research directions thereof.

This study adopts a conceptual, intending to synthesize insights and propose a new conceptual framework that incorporates the transcendence framework and the process matrix. This generic framework provides a holistic view of the procurement and supply chain landscape at multiple levels – individual, team, organizational and industry.

This paper delves into the complex landscape of corruption within procurement, involving a diverse array of participants, including procurement professionals. The effectiveness of current corruption theories may be limited in this context. Despite the introduction of ethical training and anti-corruption initiatives, corruption remains widespread. The delivery of content and the design of the curriculum in supply chain education necessitate a reorientation to include not only moral education but also practical or hands-on delivery methods. In Kenya, sectors such as health and education exhibit a lack of recognition and professional maturity. When all the research constructs are examined separately, they do not provide a holistic understanding, thus underscoring the need for a comprehensive approach across the supply chain spectrum. This topic is ripe for further academic investigation with empirical evidence.

This paper provides key insights for researchers and practitioners in the field of procurement and supply chain education, particularly in Kenya. However, it acknowledges the lack of empirical studies and the limitations of current research, including procurement fraud, the context-specific nature of the findings and the dynamic nature of corruption and procurement practices concerning the constructs. This paper calls for further research to address these gaps, validate its propositions and contribute to a more comprehensive understanding of public procurement and corruption in Kenya. It also emphasizes the need for continuous research due to the evolving nature of corruption and procurement practices.

This study has practical relevance for researchers, professionals and the procurement and supply chain ecosystem. It offers insights that can inform future research, professional advocacy and policy development regarding the shape of supply chain academia in Kenya. In addition, it contributes to the advancement of procurement and supply chain professionalism in the country.

This study underscores the necessity for breaking the cycle of procurement fraud, enhancing procurement and supply chain education in Kenya, and fostering active engagement of professional associations in promoting maturity and specialization within the field.

This study holds distinctive value by uncovering previously unexplored dynamics among supply chain constructs within the context of a lower-middle-income economy, i.e. Kenya. Deconstructing and synergizing these concepts calls for a more robust theoretical and empirical comprehension of these constructs within Kenya's unique background.