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The purpose of this paper is to focus on flight exceedances in pilots' operations. With some bad conditions, such as a bad weather, flight exceedances might lead to serious consequences. They are significant hidden dangers of aviation. Risk analysis is carried out to identify pilots' high‐risk or low‐risk operations.

A multi‐objective optimization model is proposed for risk analysis of flight operations. An evolutionary algorithm is designed to divide flight operation state‐space into some high‐risk and low‐risk sub‐spaces.

Through the empirical study of a certain flight exceedance with the analysis model, the authors discover some high‐risk flight operations, which indicate coordination problems in coordinate control of airplane's speed, rate of descent, heading, roll and pitch, etc.

This paper employs a quantitative model to carry out risk analysis of flight operations. The results are useful to pilots' training and may improve flight safety fundamentally. The risk analysis of flight exceedance is one specific case in airlines safety risk management. Some other problems, such as cause analysis of flight delay, aircraft faults diagnosis, can be addressed in the same way and dealt with by specific model adjustments and algorithm designs.

The purpose of this paper is twofold: first, to discuss key challenges associated with the use of either simulation or real-world application of intelligent autonomous vehicles (IAVs) in supply network operations; and second, to provide a theoretical and empirical evidence-based methodological framework that supports the integrated application of conceptualisation, simulation, emulation and physical application of IAVs for the effective design of digital supply networks.

First, this study performs a critical review of the extant literature to identify major benefits and shortcomings related to the use of either simulation modelling or real-word application of physical IAVs. Second, commercial and bespoke software applications, along with a three-dimensional validation and verification emulation tool, are developed to evaluate an IAV’s operations in a conceptual warehouse. Third, a commercial depth-sensor is used as a test bed in a physical setting.

The results demonstrate that conceptual and simulation modelling should be initially used to explore alternative supply chain operations in terms of ideal performance while emulation tools and real-world IAV test beds are eminent in validating preferred digital supply chain design options.

The provided analysis framework was developed using literature evidence along with experimental work and research experience, without consulting any industry experts. In addition, this study was developed based on the application of a single physical device application as a test bed and, thus, the authors should further progress with the testing of a physical IAV in an industrial warehouse.

The study provides bespoke simulation modelling and emulation tools that can be useful for supply chain practitioners in effectively designing network operations.

This work contributes in the operations management field by providing both a multi-stage methodological framework and a practical “toolbox” for the proactive assessment and incorporation of IAVs in supply network operations.

This paper seeks to evaluate the implications of operations flexibility in industrial supply chains and the effect it has on supporting initiatives designed for build‐to‐order (BTO) manufacturing.

An industrial case study is used to investigate operations flexibility and its impact on industrial supply chains. Tools used in the analysis include value stream mapping (VSM) and a scorecard for performance measurement. The scorecard tool comprises daily utilisation figures, product demand and responsiveness measures such as supply chain cycle times and pipeline inventory.

The results of the analysis confirm that supply chain VSM and scorecarding are effective tools that can be used to measure the performance of supply chains through the identification of inefficiencies associated with supply chain integration/design. The analysis shows the duration of value‐adding and non‐value adding activities in the entire chain. Also, the analysis has revealed the close relationship between operations flexibility and the supply chain flexibility dimensions of people and information systems.

The research presented analyses the operations and the supply chain of one industrial case study. The analysis does not cover the life cycle of the products mentioned in the study.

The study addresses the need, in the manufacturing industry, for tools that can be used in the analysis of manufacturing operations and supply chains, ultimately providing guidelines that can be used in the design of policies focused on performance improvement.

BTO initiatives are growing in importance in the manufacturing industry. The flexibility of operations and the supply chain are closely related to the concept of BTO in manufacturing.

In this study, the performance assessment of credit unions is developed, seeking to demonstrate how the content of their operations strategy is present in the structuring of unique models of organisational performance assessment. The main objective is to compare sources of knowledge through the content analysis of the service operations strategy as proposed by the literature and validated by specialists.

This research is a qualitative study that uses the knowledge of specialists to frame a performance assessment structure applied to credit unions. The research strategy is based on multicriteria analysis, and the selected techniques are based on the MCDA-C procedure, that is, the processes of structuring, evaluating and recommending improvements.

The research results provided: a data set external to the context that serves as theoretical support for the comparisons made; the structuring of 4 unique organisational performance assessment models carried out through the MCDA-C procedure; conceptual interpretation using the lens of the operations strategy in the cognitive maps of the assessment models, which identifies the operations strategy carried out; and comparison of the result models that show their uniqueness.

The comparison between the origins of knowledge is highlighted, and the demonstration of the content was proposed by the literature and by specialists to evaluate the performance in operations. This was then compared with the content constructed with credit union managers in structuring models based on the singularities of the respective contexts. The theory was compared to practice, and it was demonstrated how the content of the operations regarding the performance could be used in decision contexts.

Seeks to focus on operations priority patterns and operations strategy. Configurations by testing them in a specific environment which contributes to demonstrating their applicability and generalizability.

Using data from 130 Spanish companies with project process organization, their operations strategy is analyzed as a whole, without the following of a trade‐off pattern being observed.

Cost, conformer and innovation strategy types, compared with other operations strategy configurations regarding variables used to develop project management configurations, for the most part exhibit a coherent behaviour, giving support to operations strategy validation at a higher theoretical level.

The two most important limitations are the relatively small sample size used in the study and the results obtained with the organization structure variable. Similar studies in other specific production process contexts should also be undertaken.

Results obtained contribute to demonstrating the applicability of the operations strategy framework to the study of operations management in different environments and its coherence with the specific variables that are used to characterize them.

This study is virtually breaking new ground, prompted by recent calls for empirical research and for testing developed theories on operations management.

“Technological intelligence” is the capacity to appreciate and adapt technological advancements, and “artificial intelligence” is the key to achieve persuasive operational transformations in majority of contemporary organizational set-ups. Implicitly, artificial intelligence (the philosophies of machines to think, behave and perform either same or similar to humans) has knocked the doors of business organizations as an imperative activity. Artificial intelligence, as a discipline, initiated by scientist John McCarthy and formally publicized at Dartmouth Conference in 1956, now occupies a central stage for many organizations. Implementation of artificial intelligence provides competitive edge to an organization with a definite augmentation in its social and corporate status. Mere application of a concept will not furnish real output until and unless its performance is reviewed systematically. Technological changes are dynamic and advancing at a rapid rate. Subsequently, it becomes highly crucial to understand that where have the people reached with respect to artificial intelligence research. The present article aims to review significant work by eminent researchers towards artificial intelligence in the form of top contributing universities, authors, keywords, funding sources, journals and citation statistics.

As rightly remarked by past researchers that reviewing is learning from experience, research team has reviewed (by applying systematic literature review through bibliometric analysis) the concept of artificial intelligence in this article. A sum of 1,854 articles extracted from Scopus database for the year 2018–2019 (31st of May) with selected keywords (artificial intelligence, genetic algorithms, agent-based systems, expert systems, big data analytics and operations management) along with certain filters (subject–business, management and accounting; language-English; document–article, article in press, review articles and source-journals).

Results obtained from cluster analysis focus on predominant themes for present as well as future researchers in the area of artificial intelligence. Emerged clusters include Cluster 1: Artificial Intelligence and Optimization; Cluster 2: Industrial Engineering/Research and Automation; Cluster 3: Operational Performance and Machine Learning; Cluster 4: Sustainable Supply Chains and Sustainable Development; Cluster 5: Technology Adoption and Green Supply Chain Management and Cluster 6: Internet of Things and Reverse Logistics.

The result of review of selected studies is in itself a unique contribution and a food for thought for operations managers and policy makers.

The main objective of this study is to consider how to benefit efficiently from the significant potential of humanitarian operations by individuals. For this purpose, this study aims to assess failure factors in humanitarian supply chain operations after the Kermanshah earthquake considering the role of all parties, focusing on individuals who did not wish to work with formal organisations on the whole. In the aftermath of the Kermanshah earthquake, which occurred on 12 November 2017, improvised groups of Iranian civilians from all over the country played an important role in humanitarian supply chain operations as individuals. Although most of these groups sincerely intended to help the affected society, victims could not benefit properly from these significant potential humanitarian actions. On the contrary, these potential actions caused some issues during humanitarian operations, such as blocking roads, inappropriate last-mile distribution, wasting resources and so on.

This research study considers mixed methods, including an on-site survey, semi-structured interviewing and a questionnaire designed for statistical analyses. The analysis included 140 responses to the questionnaire, semi-structured interviews with 32 affected families, interviews with 5 emergency managers from the Housing Foundation of the Islamic Republic of Iran and on-site survey reports.

This study presents a framework for humanitarian supply chain management to deal with future disasters in the same area or areas with similar characteristics to the case study. In general, the results of this study demonstrate that the nature of humanitarian supply chain operations makes it impossible to consider that these operations are free of challenges. However, several influential factors, such as training humanitarian actors and integrated management, might considerably increase the efficiency of humanitarian operations by individuals.

This study highlights the influential factors of inappropriate humanitarian operations by individuals, derived from an analysis of the Kermanshah case and literature review. The authors suggest a framework to benefit from the significant potential of individuals with wide-ranging experiences and proficiency, for future cases similar to the case study.

The purpose of this paper is to present exciting and innovative research questions in service operations that are aligned with eight key themes and related topics determined by the Journal of Service Management (JOSM) Service Operations Expert Research Panel. By offering a good number of such research questions, this paper provides a broad range of ideas to spur conceptual and empirical research related to service operations and encourage the continued creation of deep knowledge within the field, as well as collaborative research across disciplines that develops and incorporates insights from service operations.

Based on a Delphi study, described in the companion article, “Service Operations: What Have We Learned?,” the panel identified eight key research themes in service operations where leading-edge research is being done or has yet to be done (Victorino et al., 2018). In this paper, three or four topics within each theme are selected and multiple questions for each topic are proposed to guide research efforts. The topics and questions, while wide-ranging, are only representative of the many ongoing research opportunities related to service operations.

The field of service operations has many interesting research topics and questions that are largely unexplored. Furthermore, these research areas are not only increasingly integrative across multiple themes within operations but often transcend functional disciplines. This creates opportunities for ever more impactful research with a greater reach throughout the service system and suggests that service researchers, regardless of functional affiliation, can contribute to the ongoing conversation on the role of service operations in value creation.

Leveraging the collective knowledge of the JOSM Service Operations Expert Research Panel to expand on the research themes generated from the Delphi study, novel questions for future study are put forward. Recognizing that the number of potential research questions is virtually unlimited, summary questions by theme and topic are also provided. These questions represent a synopsis of the individual questions and can serve as a quick reference guide for researchers interested in pursuing new directions in conceptual and empirical research in service operations. This summary also serves as a framework to facilitate the formulation of additional research topics and questions.

This paper seeks to examine empirically from a contingency perspective the influence of business strategy on the relationship between operations strategy and business results.

Analysis is carried out on a sample of 76 Spanish ceramic tile firms. Data on strategies are gathered by means of a postal survey addressed to operations managers and information on firms' results is drawn from secondary sources. Operations strategy is represented by competitive priorities and business strategy is based on Miles and Snow's typology. Relationships are modelled in regression equations including interaction terms in order to test for the existence of a moderating effect.

Existence of a moderating effect of business strategy on the relationship between operations strategy and firms' results is demonstrated. Specifically, in defender firms, the cost and quality priorities influence positively, whereas priorities of delivery and flexibility have a negative effect. No influence of operations strategy on firms' results is observed in analyser or prospector firms.

Limitations of this research include the reduced number of organisations investigated and the fact that all companies belong to a single industry. Also, the fact that strategy variables are based on self‐reporting measures identified by a single respondent.

Practitioners must bear in mind the coherence between operations strategy and business strategy. In this work, details of business and operations strategy fits are given.

The fit between operations strategy and business strategy is studied by focusing on the moderating role of business strategy.

This work analyses make or buy decisions from the transaction cost economics perspective and the resource‐based view of the firm. The aim is to analyse the extent to which the presumptions of the two theories are valid in the service sector in terms of specific assets.

The study was conducted on a representative sample of hotels in Scotland, UK. Each of the surveyed hotels was asked for information about 13 operations or hotel processes. A comprehensive model is developed that establishes the relationship between asset specificity and operation performance and hotel or business performance, moderated by the form of governance (make or buy). Moreover, the relationship between asset specificity and outsourcing in the hotel sector is also examined. The different hotel processes are classified according to the asset specificity. The factors that could lead to an increase in the outsourcing strategy are also analysed.

The results indicate that, the relationship between asset specificity and operation performance is weaker when the operations are executed in‐house. In the case of the relationship between specific assets and performance, the findings regarding non‐financial performance are not contradictory since it is slightly higher when the operation is outsourced. The factors determining an increase in outsourcing would be those related to the quality of the operation and to non‐financial performance.

Previous studies have not considered the relationship between specificity and business performance, which gives extra incentive to complement and expand the literature on service operations. Future research should analyze other theories on organisations and outsourcing. The findings should also be tested in other geographical regions and use sources of information other than the hotel managers.

The work generates knowledge and aids managers in their “make or buy” decisions for the principal processes in the hotel industry according to the asset specificity.

The paper develops a specificity‐outsourcing matrix and identifies each of the hotel operations. Apart from testing the model in the hotel sector, which is an important sector of the service industry, the work offers a better understanding of outsourcing decisions based on the two basic theories used in the literature on services management. The paper also makes an innovative contribution by analysing relationships between operation specificity and performance that are previously untested in the service sector.