International Journal of Management and Decision Making (20 papers in press)
FRABAC: A new Hybrid Access Control Model for the Heterogeneous Multi-domain Systems
by Hasiba Ben Attia, Laid Kahloul*, Saber Benharzallah
Abstract: In this paper, a new hybrid, flexible, scalable and fine-grained model (FRABAC) is proposed. FRABAC combines the benefits of the two most popular basic models: Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC). The new proposed model overcomes the shortcomings of both models RBAC and ABAC known as combinatorial explosion in rules and roles when the security policy becomes complicated. Besides avoiding the combinatorial explosion, the new proposed model provides a Role Permission Agreement (APA) to handle inter organizational access decision in collaborative cloud services cases. The proposed model is applied to define the security policies in realistic case studies and results are compared to previous existing models. On the other hand, the consistency and the correctness of the built policies are analysed through a formal modelling/analysis approach. This formal approach uses Hierarchical Coloured Petri Nets (HCPNs) to model the policy and the CPN-tools to analyse the generated models.
Keywords: Fine-grained access control; Hydride model; Flexible model; Cloud computing; Collaborative Cloud Services; RBAC; ABAC; Coloured Petri Nets; Formal Verification; CPN-tool.
Food safety risk analysis from the producers perspective: prioritization of production process stages by HACCP and TOPSIS
by A. Certa, M. Enea, G.M. Galante, J. Izquierdo, C.M. La Fata
Abstract: From the manufacturers perspective, the Hazard Analysis and Critical Control Point (HACCP) system nowadays represents the mainly way to implement the food safety risk management in food industries. Nevertheless, the identification and prioritization of hazards as the outcome of the first principle of HACCP is not sufficient to identify production process stages that more significantly and critically contribute to the consumers risks. With this recognition, the present paper proposes a Quantitative Risk Assessment (QRA) approach based on HACCP and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to individuate production process phases on which implementing corrective actions to improve the consumers safety. The designed methodological approach is implemented on the smoked salmon manufacturing process of a real Sicilian industry.
Keywords: Analysis of production process stages; Food safety risk analysis; HACCP; TOPSIS.
Stakeholder dynamics moderation for distressed firms entering turnaround and business rescue: Who and what counts?
by Marius Pretorius
Abstract: Stakeholder salience, conflict and prioritisation are important for directing decision-making. Entering a turnaround situation or business rescue (following distress) affects who and what may be important to decision-makers. During such distress, the stakeholders composition changes which may alter power, legitimacy and urgency relations for other stakeholders. The consequences thereof are unclear, especially as the associated uncertainty of the outcome increases. Going concerns support stakeholder theory as balanced situations but salience and prioritisation may be adversely affected by the moderating context when the decision-makers change on entering turnaround situations or filing for business rescue following distress. Hence, making sense of how the stakeholder dynamics change during distress is vitally important to stakeholders as this may moderate decision-making of the various parties and even underwrite conflict. Such decisions may affect the success of attempted reorganisation interventions. By presenting comparative narratives for each stakeholder, this study explores, using analytic auto ethnography as method, the changing stakeholder views following distress and concluding with a stakeholder salience framework.
Keywords: Turnaround; business rescue; Zone of insolvency; reasonable prospect; decision-making; stakeholder power.
The influence of cultural dimensions on lean projects success and barriers
by Sara Antomarioni, Filippo Emanuele Ciarapica, Ilaria De Sanctis
Abstract: Implementing lean projects harbors relevant difficulties, hence it is interesting to evaluate whether companies that operate in different cultural context experience the same kind of barriers. Few studies analyzed the influence of cultural dimensions on lean projects failure. In this context, this work aims at addressing the existing research gap, trying to answer the following research questions: -Do the cultural dimensions influence the perception lean projects' success and lean practices implementation level? -Does the type and level of barriers to lean practices implementation depend on the cultural dimensions? Therefore, the experiences of 171 companies were collected through a questionnaire and clustered on the basis of the cultural dimensions, through a k-means procedure. Two clusters were defined and were compared through Mann-Whitney test, proving a statistically significant difference for lean practices implementation and for the majority of lean barriers, both during the start-up and the sustaining phases.
Keywords: Lean projects; Lean success; Lean barriers; Lean implementation; national cultural dimensions; cluster analysis; k-means; Mann-Whitney test.
A DECISION MAKING SYSTEM FOR CONTAINER STORAGE MANAGEMENT IN A SEAPORT USING ANT-COLONY OPTIMISATION ALGORITHM
by Fouzia AMRANI, Khadidja Yachba, Naima Belayachi, Djamila Hamdadou
Abstract: This article addresses the problem of container storage in a container terminal. Container terminals constitute essential intermodal interfaces for the global transport network. The optimal location for a container in a terminal is very important to port operators as it directly impacts the overall performance of the container terminal and helps maximise throughput due to the higher efficiency it provides. In our work, we propose an approach to solving the container storage problem by describing a decision model that simulates, solves, and optimises available storage space to handle the departures and arrivals of full containers in a seaport. In other words, this is a model that minimises the total number of unnecessary movements while respecting the space and time dynamics of the environment. The interest of this work concerns the development of a software tool that identifies the best location for a container using the ant colony algorithm that is integrated into a decisional model. The latter being proposed to the port operator for a possible choice.
Keywords: container terminal; container storage; optimal location; storage area; decision model; ant-colony algorithm.
Deciding: Decision-making as a social practice.
by Eduardo G. Villar, Carolina De Souza Walger, Gustavo Abib, Karina De Dea Roglio
Abstract: This conceptual paper aims to show how the concept of strategy-as-practice can help illuminate decision-making as social practice. In our analysis, we rely on four assumptions from the literature on strategy as a social practice and decision-making. First, we assume that all organisational members are potential participants in decision-making, a proposal that diverges from the traditional focus on one formal decision-maker in an organisation. The second assumption is that the intertwining of decisions supports and is supported by social practices in the flow of daily activities. The third assumption posits that decisional work takes place in praxis, broadening the concept of a specific moment of the formal choice in a given decision. Our fourth assumption is that decisions are continuously (re)built in social practice by means of deciding. We believe that conceptualizing decision-making in this manner can lead to a new direction for research on decision-making, broadening its theoretical scope.
Keywords: Strategy as social practice; decision-making; decisional work; decision maker.
Finding Consistent Weights Assignment with Combined Pairwise Comparisons
by Ryszard Janicki
Abstract: Weights assignment occurs frequently in many classification and ranking techniques. When judgments are subjective, or partially subjective, both the weight assignment and justification its consistency is often problematic. The method of pairwise comparisons is a very helpful technique that can be used to validate weights assignments and to justify their consistency. In this paper two quantitative models and one qualitative model of pairwise comparisons are merged together, resulting in a convenient procedure for finding consistent weights and provide consistent ranking. Moreover, three applications, in different areas, of that procedure are given. Often neglected, the weights correction problem is also discussed.
Keywords: pairwise comparisons; weights assignment; consistency; ranking.
A Multi-Criteria Decision Making approach for prioritising Product-Service systems implementation in smart cities
by Alice Rondini, Alexandra Lagorio, Roberto Pinto, Giuditta Pezzotta
Abstract: The latest economic and environmental changes together with the development of technology, fostered interest in "smart cities" and Smart City Product-Service System (SCPSS): bundle of products and services aimed at fueling sustainable economic growth with a wise management of resources. Since budget constraint prevents a massive implementation of all the possible SCPSS, this paper expands the Engineering Value Assessment (EVA) method and adopt it to assess and prioritize SCPSS from three perspectives: i) the municipality, ii) the citizens, and iii) other stakeholders. EVA method is based on two steps, and for each of them proposes a MCDM method. The contribution of this study is twofold: first, it complements the EVA method with the definition of specific evaluation criteria for external stakeholder that play a crucial role into the Smart City paradigm; second, it describes the application of the method for the selection and prioritisation of SCPSS in Bergamo.
Keywords: Product Service System; Multi Criteria Decision Making; Smart City; Sustainability; TOPSIS; IPA; EVA Method; Pugh Matrix.
Product quality and energy consumption optimisation of dyeing fixing process by steaming through DOE analysis: a cotton case study.
by Aurelio Tronci, Pier Francesco Orrù, Pasquale Buonadonna
Abstract: Simultaneous improvement of product's quality and process' energy performances of dyeing fixing on cotton fabrics is studied in this work. A full factorial design, starting from factor's ranges currently in use by textile industrial operators, was settled following design of experiments guidelines, resulting in a two factors (team flow rate and steaming time) and three levels experimental plan, including three repetitions of the central point. Both analysis of variance and best subset analysis were carried in order to establish the real effectiveness of each independent variable. Analyses point out the high influence of steaming time, while the one of the steam rate is negligible, which leads to the opportunity of producing the best quality fabrics at the lowest level of steam rate, maintaining the time under the traditionally employed one. These results if properly applied to an industrial size equipment, can be translated in consistent energy and, consequently, economical savings.
Keywords: DOE; product quality; energy savings; cotton; steaming.
Supply Chain Risk Management: Models and Methods
by C.R. Vishnu, Rajagopalan Sridharan, P.N. Ram Kumar
Abstract: This paper consolidates various research outputs in supply chain risk management (SCRM). It presents the techniques employed for managing and modelling supply chain risk drivers in an encapsulated form to aid the risk related decision making in industries. This review paper proposes a hybrid of systematic and descriptive review approach. Initially, the authors apply a systematic literature review approach to study the current research directions and subthemes in SCRM. The information thus obtained is also utilised to shortlist the research papers for the descriptive review that identifies the various models and methods applied in SCRM research. A software tool known as BibExcel is employed for data mining and analysing. Another software tool called Pajek is used to visualise the BibExcel outputs. Furthermore, this review paper identifies and discusses the significant gaps in SCRM research studies and proposes some unique and promising areas for future research.
Keywords: supply chain management; SCM; supply chain risk management; SCRM; literature review; meta-analysis; risk modeling; risk mitigation.
Modeling approach of hospital supply chain: The Case of the surgery and oncology departments,State of the art
by Kenza Sahaf, Said Rifai, Otmane Bouksour, Ahmed Adri
Abstract: Nowadays, hospital logistics has become an essential component of healthcare institutions. It allows the synchronisation of all the flows inside a hospital to ensure the efficiency of the healthcare system, and particularly in the case of cancerous diseases. This paper presents a synthesis of the research carried out since 1992 on hospital logistics chain. The first part of this article is dedicated to modelling and these different approaches. In the second part, we discuss research work on the hospital logistics chain, the third part is devoted to logistics optimisation in the surgery department, the fourth part is devoted to chemotherapy problems, and we conclude by presenting our perspective that links these four areas of research namely: modelling approaches of hospital logistics chains, the case of surgical oncology division.
Keywords: Modelling approach; Hospital supply chain; Supply chain optimization; Surgery; Oncology.
Improving efficiency of farming products through benchmarking and data envelopment analysis
by Alireza Khoshroo, Mohammad Izadikhah
Abstract: Efficient use of energy is an important pathway in reducing the carbon footprint of crop production as well as improving agricultural sustainability. This study is concerned with the performance assessment of watermelon farms, on both aspects of productive efficiency and energy efficiency to recognise the efficient/inefficient watermelon farms and find the sources of inefficiency. In this regard, the range adjusted measure, a non-radial DEA-based efficiency model, is applied to investigate the efficiency of watermelon production in 18 provinces of Iran during 2013-2014. Energy inputs consist of human labour, machinery, fertilisers and biocides. The model output is the total production value of watermelon. Average scores of overall technical efficiency and energy efficiency are 0.83 and 0.85, respectively. The target inputs and outputs for each province are calculated, and the benchmark farm for each DMU is determined. Finally, the returns to scale status and scale economies score for each province are evaluated.
Keywords: Range adjusted measure; Returns to scale; Scale economies; Benchmarking; Watermelon; Energy efficiency.
Technology readiness and satisfaction in Vietnam
by Le Van Huy, Pham Thi Hoan Nguyen, Long Pham, Ronald Berry
Abstract: The objective of this study was to examine the relationships among customer's technology readiness, technology acceptance, and satisfaction with technologies commonly available in luxury hotels. The data for this study was collected from 828 international tourists who stayed in luxury hotels in Vietnam. The results showed that optimism and innovativeness positively influenced perceived ease of use, while four dimensions of technology readiness positively influenced perceived usefulness. In addition, optimism, discomfort, and insecurity had impacts on customer satisfaction with technologies. Moreover, perceived ease of use had impacts on perceived usefulness and on customer satisfaction with technologies. Finally, theoretical contributions, managerial implications, and future research directions are discussed.
Keywords: Technology acceptance; technology readiness; satisfaction; luxury hotels; Vietnam.
Development and testing of a software tool for warehouse design and picking optimization
by Eleonora Bottani, Roberto Montanari, Marta Rinaldi
Abstract: TThe picking process is a manual, labour-intensive process, whose efficiency is affected by a number of different factors, which contribute to determine the travel distance covered by pickers. This paper describes the development of an original software tool programmed with Microsoft ExcelTM to help design picker-to-parts order picking systems and simultaneously evaluate the effect and interactions of various design and operating factors on the process performance. The software allows the geometry of any rectangular warehouse to be reproduced as a function of its main parameters, i.e. the number of aisles and cross-aisles, shape factor and total storage capacity, and the application of four routing policies to be simulated. The software was applied to derive the travel distance as a function of the routing policy, shape factor, number of cross-aisles and length of the order picking list, in a warehouse of fixed storage capacity.
Keywords: warehouse design; software tool; travel distance; routing.
Managing complexity through business relationships: the case of the Swedish electricity market
by Cecilia Lindh, Lennart Haglund, Tommy Kovala
Abstract: In the industrial market, electricity is an essential resource for production, as a stop in its flow may cause expensive production loss and thus tremendous cost. This strong resource dependence and the inevitable competition that comes with deregulation of the market, makes the electricity business complex and relationships of long-term orientation to form. To study such relationships, a mixed method is applied to provide contextual knowledge:by four interviews and a descriptive model and a structural model with three hypotheses developed (n = 122). Managers of products that may seem simple and traded in a market where low cost prevails should think again - stable relationships are a necessity for rational decisions also in this case, particularly since interdependence is influential.
Keywords: business relationship; buyer-seller relationships; commitment; complexity; deregulation; electricity intensive industry; electricity retailers; interdependence; mixed method; trust.
The efficiency of the top mega yacht builders across the world: a financial ratio-based data envelopment analysis
by Alessandro Merendino, Enrico Deidda Gagliardo, Stefano Coronella
Abstract: This research provides an application of a non-parametric analytic technique (data envelopment analysis, DEA) in measuring the performance of the mega yacht sector. It analyses the efficiency of the top mega yacht companies across the world in 2005-2013 by offering a model useful for comparing inefficient shipbuilders with the efficient ones. This paper adopts an output-oriented version of DEA based on financial ratios where inputs are not utilised. In order to handle missing data, we test and compare two different techniques: the deletion one and the multiple linear regression analysis (MLRA). We find that DEA can be a complement or alternative tool to ratio analysis to evaluate corporates' performance. We also find that the most efficient shipbuilders are those based in the most prosperous countries. Finally, the MLRA efficiency scores are more reliable and consistent with the firms' annual reports and financial ratios.
Keywords: data envelopment analysis; DEA; efficiency; financial ratios; mega yacht sector.
Preventing and facing new crisis and risks in complex environments
by Eunika Mercier-Laurent, Francis Rousseaux, Rabih Haddad
Abstract: Ubiquitous automation, massive digitalisation, virtualisation of services and extremely rapid development of technology, mobile and cloud applications in the globalisation context have introduced new crisis and new risks. The increasing computers power allow capturing and analysing the exponential amount of data and information produced by human activities, exchanged through machine to machine transactions, through IoT and captured on the web via various services. The results of traditional analytics help pushing sales but are not always relevant for decision making. Artificial Intelligence techniques have been used for years to discover knowledge from multimedia data, but without a systematic knowledge management this data is insufficient for right decision taking, especially in critical situations. After presenting some main crisis and risks this paper focus on decision making process based on exploration of available knowledge. Two examples of decision making in industrial design and in energy field are given and discussed. They are followed by conclusions and perspectives for future extensions.
Keywords: decision support systems; complex environment; artificial intelligence; knowledge management; risks; industrial design; nuclear plants.
A fuzzy EOQ model for deteriorating items with imperfect quality using proportionate discount under learning effects
by Rojalin Patro, Milu Acharya, Mitali Madhusmita Nayak, Srikanta Patnaik
Abstract: The present paper analyses the impact of learning on optimal solution of inventory problems. The aim of the paper is to develop both crisp and fuzzy EOQ models for imperfect quality items under deterioration and analyse the effect of learning on holding cost, ordering cost and the number of defective items present in each lot and deal the fuzziness aspect of demand for the fuzzy model. In this paper, it is assumed that all received items are not of perfect type and after100% screening, imperfect items are dropped from the inventory and sold at an allowable proportionate discount. Due to the repetition of handling the system holding cost and ordering cost gradually decrease from one shipment to another. The optimal lot sizes of both crisp and fuzzy models are obtained by calculus method and the total profit functions for each model are also derived. The total profit function of the fuzzy model is defuzzified by using signed distance method. Numerical examples are provided to illustrate the developed models and sensitivity analysis is conducted to show the effect of number of shipments on the order quantity and the total profits of the models.
Keywords: inventory; economic order quantity; EOQ; imperfect quality; deteriorating items; proportionate discount; triangular fuzzy number; signed distance; learning effects; defuzzification.
Facilitating decision making on construction and demolition waste management in Greece through dynamic system modelling
by Ioanna Palanta, Georgios Aretoulis, Panagiotis Palantas
Abstract: Nowadays, construction and demolition processes produce a huge amount of waste. This study has recorded data on the current state of political, institutional, technological, and applied practices, in Greece. Moreover, a system dynamics approach was implemented in order to develop a model, to examine the relationship, between the three aspects of performance that underlie the waste management practices, namely: economic, environmental and social. The proposed model is then converted into a system dynamic model through the software Vensim PLE. The model was implemented using official Eurostat data regarding the produced waste from the construction industry, in Greece, for the study period 2013-2020. The model predicts that an increase in the cost of landfill use will have negative impact on their management performance. A change in the effectiveness of compliance with waste management regulations provides an increase in their management performance, only if all the stakeholders are really committed. Finally, it could be proposed that further standardisation of deposition and processing fees and a combined bonus and penalty system could play an important role in the direction of effective waste management.
Keywords: construction and demolition waste; CDW; environmental economic and social impact assessment; system dynamics modelling; waste management; decision making; Greece.
Assessment of drivers to implement integrated lean green manufacturing system in Indian SMEs through IF-TOPSIS approach
by Piyush Jaiswal, Amaresh Kumar
Abstract: Due to globalisation and strict environmental regulation by government agencies, small and medium enterprises (SMEs) are under hideous pressure to improve their operational, financial as well as environmental performance. Taking this fact into consideration, an integrated lean green manufacturing system (LGMS) has been proposed as a solution to improve the overall performance of SMEs. It is important to identify the essential driving factors that influence in adoption of LGMS in SMEs. Therefore, present study examines the rank of drivers by utilising an intuitionistic fuzzy technique for order of preference by similarity to ideal solution (IF-TOPSIS) approach. Finding of the study shows that 'competitiveness', 'legislative and regulatory compliances', 'reduce manufacturing cost', 'market trends' and 'improve working environment' are the top most essential drivers among 23 drivers. This study provides important insights to policy makers in government and industries for proper and effective implementation of LGMS in manufacturing SMEs.
Keywords: lean manufacturing; green manufacturing; drivers; IF-TOPSIS; lean green manufacturing system; LGMS; India; small and medium enterprises; SMEs.