Template-Type: ReDIF-Article 1.0 Author-Name: Darius Danesh Author-X-Name-First: Darius Author-X-Name-Last: Danesh Author-Name: Michael J. Ryan Author-X-Name-First: Michael J. Author-X-Name-Last: Ryan Author-Name: Alireza Abbasi Author-X-Name-First: Alireza Author-X-Name-Last: Abbasi Title: Multi-criteria decision-making methods for project portfolio management: a literature review Abstract: Project portfolio management (PPM) has become a key element of large organisations' service delivery due to the close attention inherently paid to numerous issues in the discipline of project management. Its success is closely associated with the degree of understanding of its issues and the quality of decisions made at the portfolio level which can be addressed using multi-criteria decision-making (MCDM) methods. Although several of these MCDM methods have been introduced to support decision-making functions as part of PPM, there has been little assessment of their performances, particularly when combining some of them. This paper identifies the key challenges of PPM, proposes a new framework for classifying PPM MCDM related methods and presents a literature review of applications of MCDM methods to PPM. Journal: Int. J. of Management and Decision Making Pages: 75-94 Issue: 1 Volume: 17 Year: 2018 Keywords: project portfolio management; PPM; multi-criteria decision making; MCDM; MCDM classification; PPM Challenges; decision problem. File-URL: http://www.inderscience.com/link.php?id=88813 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:1:p:75-94 Template-Type: ReDIF-Article 1.0 Author-Name: Subrat Kumar Nayak Author-X-Name-First: Subrat Kumar Author-X-Name-Last: Nayak Author-Name: Pravat Kumar Rout Author-X-Name-First: Pravat Kumar Author-X-Name-Last: Rout Author-Name: Alok Kumar Jagadev Author-X-Name-First: Alok Kumar Author-X-Name-Last: Jagadev Title: Automatic clustering by elitism-based multi-objective differential evolution Abstract: To arrange the uncategorised and unlabelled data into different clusters and finding the actual label of each datum from the huge volume by extracting useful and unique information is a real challenge. In this article, an automatic clustering by elitism-based multi-objective differential evolution (AC-EMODE) algorithm has been proposed to deal with partitioning the data into different clusters. This work includes three objectives to handle complex datasets. This generates a suitable Pareto front by simultaneously optimising three objectives. In addition to that, a very effective concept is followed for getting the best solution from the optimal Pareto front. A comparative analysis of the proposed approach with another six population-based methods has been carried out. These techniques are applied to ten datasets and the results reveal that the proposed approach can be considered as one of the alternative powerful methods for all data clustering applications in various fields. Journal: Int. J. of Management and Decision Making Pages: 50-74 Issue: 1 Volume: 17 Year: 2018 Keywords: multi-objective; automatic clustering; fuzzy-based selection; differential evolution. File-URL: http://www.inderscience.com/link.php?id=88814 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:1:p:50-74 Template-Type: ReDIF-Article 1.0 Author-Name: Gianpaolo Di Bona Author-X-Name-First: Gianpaolo Di Author-X-Name-Last: Bona Author-Name: Antonio Forcina Author-X-Name-First: Antonio Author-X-Name-Last: Forcina Author-Name: Domenico Falcone Author-X-Name-First: Domenico Author-X-Name-Last: Falcone Title: Maintenance strategy design in a sintering plant based on a multicriteria approach Abstract: Maintenance strategy design greatly contributes to ensure the pre-established production capacity of an industrial system and to reduce organisation cost, without compromising customer satisfaction resulting in loss of market share. The focus of the present research is a new model for maintenance policy developed and implemented in a case study. The new approach is focused on the adequate distribution of maintenance budget to system units according to the main factors determining availability and maintenance of equipment. These factors are summarised through appropriate indices, adjusted through a multicriteria method, the analytic hierarchy process (AHP), depending on the importance level of each considered factor and unit of the system. The results can be used as a support for allocation of budgets to maintenance activities, identifying machines or units that are strategic to ensure production. The model has been applied on a real industrial plant. Journal: Int. J. of Management and Decision Making Pages: 29-49 Issue: 1 Volume: 17 Year: 2018 Keywords: design of maintenance; budgets allocation; failure analysis; analytic hierarchy process; AHP. File-URL: http://www.inderscience.com/link.php?id=88816 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:1:p:29-49 Template-Type: ReDIF-Article 1.0 Author-Name: Fani Antoniou Author-X-Name-First: Fani Author-X-Name-Last: Antoniou Author-Name: Georgios N. Aretoulis Author-X-Name-First: Georgios N. Author-X-Name-Last: Aretoulis Title: Comparative analysis of multi-criteria decision making methods in choosing contract type for highway construction in Greece Abstract: How to compensate highway construction contractors is a complex decision that should be taken based on scientific evidence. Four different multi-criteria decision making methods, i.e., the multi-attribute utility theory, the technique for order preference by similarity to ideal situation, the preference ranking organisation method for enriched evaluation (PROMETHEE) and the PROMETHEE group decision support system method were applied to two case study projects with different characteristics and awarding authorities' (AAs') needs in order to choose between seven different contract type based on nine selection criteria. The results highlight the need to establish the availability of new CTs in the public works law in Greece and showed that all methods have the potential to become decision support systems that can be employed for improving objectivity in this decision making process as if the project characteristics and AA's needs are properly defined at the onset. Journal: Int. J. of Management and Decision Making Pages: 1-28 Issue: 1 Volume: 17 Year: 2018 Keywords: multi-criteria decision making; MCDM; TOPSIS; utility theory; PROMETHEE; group decisions; highways; contracts; public service; Greece. File-URL: http://www.inderscience.com/link.php?id=88821 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:1:p:1-28 Template-Type: ReDIF-Article 1.0 Author-Name: Giseli Alves Silvente Author-X-Name-First: Giseli Alves Author-X-Name-Last: Silvente Author-Name: Clébia Ciupak Author-X-Name-First: Clébia Author-X-Name-Last: Ciupak Author-Name: Julio Araujo Carneiro-da-Cunha Author-X-Name-First: Julio Araujo Author-X-Name-Last: Carneiro-da-Cunha Title: Top management teams: a bibliometric research from 2005 to 2015 Abstract: This article aims to identify the main characteristics of the works on top management team (TMT). Firstly, it was related to the classic and current authors who research TMT performing a bibliometric research in the scientific journals of <i>Web of Science</i>, in the period from 2005 to 2015 (inclusive). Later, in order to raise the main evolutionary approaches, the years 2013, 2014 and 2015 specifically were analysed and for the reason that this period reflects the current tendency of the theme. The results were processed in the software Bibexcel and this generated a matrix of citation and co-citations, whose data were submitted to an exploratory factor analysis, from which five factors were identified. These were named in accordance to the main approach of the classic and authors, namely: 1) competencies of top management team; 2) features of top managers; 3) effect of demographic lines failures; 4) salary disparities among CEOs; 5) organisational learning. Among the evolutionary approaches of the authors who continue researching the theme, we highlight the interest in the context of TMT in family companies, gender diversity in the team and the internal and external influences of TMT. From the study, it can be concluded that the researches on human and behavioural aspects of TMT are constantly growing, since they accompany the evolutionary process of organisations. There is an increase in the tendency to study decision making under the human and behavioural aspect and not only under the structured and rational aspect. Journal: Int. J. of Management and Decision Making Pages: 95-124 Issue: 1 Volume: 17 Year: 2018 Keywords: top management team; TMT; CEO; evolutionary approach; bibliometric research. File-URL: http://www.inderscience.com/link.php?id=88822 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:1:p:95-124 Template-Type: ReDIF-Article 1.0 Author-Name: Alessandro Merendino Author-X-Name-First: Alessandro Author-X-Name-Last: Merendino Author-Name: Enrico Deidda Gagliardo Author-X-Name-First: Enrico Deidda Author-X-Name-Last: Gagliardo Author-Name: Stefano Coronella Author-X-Name-First: Stefano Author-X-Name-Last: Coronella Title: The efficiency of the top mega yacht builders across the world: a financial ratio-based data envelopment analysis 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. Journal: Int. J. of Management and Decision Making Pages: 125-147 Issue: 2 Volume: 17 Year: 2018 Keywords: data envelopment analysis; DEA; efficiency; financial ratios; mega yacht sector. File-URL: http://www.inderscience.com/link.php?id=92544 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:2:p:125-147 Template-Type: ReDIF-Article 1.0 Author-Name: Rojalin Patro Author-X-Name-First: Rojalin Author-X-Name-Last: Patro Author-Name: Milu Acharya Author-X-Name-First: Milu Author-X-Name-Last: Acharya Author-Name: Mitali Madhusmita Nayak Author-X-Name-First: Mitali Madhusmita Author-X-Name-Last: Nayak Author-Name: Srikanta Patnaik Author-X-Name-First: Srikanta Author-X-Name-Last: Patnaik Title: A fuzzy EOQ model for deteriorating items with imperfect quality using proportionate discount under learning effects 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. Journal: Int. J. of Management and Decision Making Pages: 171-198 Issue: 2 Volume: 17 Year: 2018 Keywords: inventory; economic order quantity; EOQ; imperfect quality; deteriorating items; proportionate discount; triangular fuzzy number; signed distance; learning effects; defuzzification. File-URL: http://www.inderscience.com/link.php?id=92557 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:2:p:171-198 Template-Type: ReDIF-Article 1.0 Author-Name: Ioanna Palanta Author-X-Name-First: Ioanna Author-X-Name-Last: Palanta Author-Name: Georgios Aretoulis Author-X-Name-First: Georgios Author-X-Name-Last: Aretoulis Author-Name: Panagiotis Palantas Author-X-Name-First: Panagiotis Author-X-Name-Last: Palantas Title: Facilitating decision making on construction and demolition waste management in Greece through dynamic system modelling 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. Journal: Int. J. of Management and Decision Making Pages: 199-223 Issue: 2 Volume: 17 Year: 2018 Keywords: construction and demolition waste; CDW; environmental economic and social impact assessment; system dynamics modelling; waste management; decision making; Greece. File-URL: http://www.inderscience.com/link.php?id=92566 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:2:p:199-223 Template-Type: ReDIF-Article 1.0 Author-Name: Piyush Jaiswal Author-X-Name-First: Piyush Author-X-Name-Last: Jaiswal Author-Name: Amaresh Kumar Author-X-Name-First: Amaresh Author-X-Name-Last: Kumar Title: Assessment of drivers to implement integrated lean green manufacturing system in Indian SMEs through IF-TOPSIS approach 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. Journal: Int. J. of Management and Decision Making Pages: 224-243 Issue: 2 Volume: 17 Year: 2018 Keywords: lean manufacturing; green manufacturing; drivers; IF-TOPSIS; lean green manufacturing system; LGMS; India; small and medium enterprises; SMEs. File-URL: http://www.inderscience.com/link.php?id=92569 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:2:p:224-243 Template-Type: ReDIF-Article 1.0 Author-Name: Eunika Mercier-Laurent Author-X-Name-First: Eunika Author-X-Name-Last: Mercier-Laurent Author-Name: Francis Rousseaux Author-X-Name-First: Francis Author-X-Name-Last: Rousseaux Author-Name: Rabih Haddad Author-X-Name-First: Rabih Author-X-Name-Last: Haddad Title: Preventing and facing new crisis and risks in complex environments 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. Journal: Int. J. of Management and Decision Making Pages: 148-170 Issue: 2 Volume: 17 Year: 2018 Keywords: decision support systems; complex environment; artificial intelligence; knowledge management; risks; industrial design; nuclear plants. File-URL: http://www.inderscience.com/link.php?id=92570 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:2:p:148-170 Template-Type: ReDIF-Article 1.0 Author-Name: Hasiba Ben Attia Author-X-Name-First: Hasiba Ben Author-X-Name-Last: Attia Author-Name: Laid Kahloul Author-X-Name-First: Laid Author-X-Name-Last: Kahloul Author-Name: Saber Benharzallah Author-X-Name-First: Saber Author-X-Name-Last: Benharzallah Title: FRABAC: a new hybrid access control model for the heterogeneous multi-domain systems Abstract: In this paper, a new hybrid, flexible, scalable and fine-grained model, fine-grained role-attribute access control (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 organisational 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. Journal: Int. J. of Management and Decision Making Pages: 245-278 Issue: 3 Volume: 17 Year: 2018 Keywords: fine-grained access control; hybrid model; flexible model; cloud computing; collaborative cloud services; role-based access control; RBAC; attribute-based access control; ABAC; coloured Petri nets; formal verification; CPN-tool. File-URL: http://www.inderscience.com/link.php?id=93493 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:3:p:245-278 Template-Type: ReDIF-Article 1.0 Author-Name: Marius Pretorius Author-X-Name-First: Marius Author-X-Name-Last: Pretorius Title: Stakeholder dynamics moderation for distressed firms entering turnaround and business rescue: who and what counts? 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. Journal: Int. J. of Management and Decision Making Pages: 299-321 Issue: 3 Volume: 17 Year: 2018 Keywords: turnaround; business rescue; zone of insolvency; ZoI; reasonable prospect; distress concern; going concern. File-URL: http://www.inderscience.com/link.php?id=93499 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:3:p:299-321 Template-Type: ReDIF-Article 1.0 Author-Name: Fouzia Amrani Author-X-Name-First: Fouzia Author-X-Name-Last: Amrani Author-Name: Khadidja Yachba Author-X-Name-First: Khadidja Author-X-Name-Last: Yachba Author-Name: Naima Belayachi Author-X-Name-First: Naima Author-X-Name-Last: Belayachi Author-Name: Djamila Hamdadou Author-X-Name-First: Djamila Author-X-Name-Last: Hamdadou Title: A decision-making system for container storage management in a seaport using the ant-colony optimisation algorithm 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 is being proposed to the port operator for a possible choice. Journal: Int. J. of Management and Decision Making Pages: 348-367 Issue: 3 Volume: 17 Year: 2018 Keywords: container terminal; container storage; optimal location; storage area; decision model; ant-colony algorithm. File-URL: http://www.inderscience.com/link.php?id=93501 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:3:p:348-367 Template-Type: ReDIF-Article 1.0 Author-Name: Eduardo Guedes Villar Author-X-Name-First: Eduardo Guedes Author-X-Name-Last: Villar Author-Name: Carolina De Souza Walger Author-X-Name-First: Carolina De Souza Author-X-Name-Last: Walger Author-Name: Gustavo Abib Author-X-Name-First: Gustavo Author-X-Name-Last: Abib Author-Name: Karina De Déa Róglio Author-X-Name-First: Karina De Déa Author-X-Name-Last: Róglio Author-Name: Fabricio Stocker Author-X-Name-First: Fabricio Author-X-Name-Last: Stocker Title: Deciding: decision-making as a social practice 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 <i>deciding</i>. We believe that conceptualising decision-making in this manner can lead to a new direction for research on decision-making, broadening its theoretical scope. Journal: Int. J. of Management and Decision Making Pages: 279-298 Issue: 3 Volume: 17 Year: 2018 Keywords: strategy as social practice; decision-making; decisional work; decision maker. File-URL: http://www.inderscience.com/link.php?id=93502 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:3:p:279-298 Template-Type: ReDIF-Article 1.0 Author-Name: Ryszard Janicki Author-X-Name-First: Ryszard Author-X-Name-Last: Janicki Title: Finding consistent weights assignment with combined pairwise comparisons Abstract: <i>Weights assignment</i> occurs frequently in many classification and ranking techniques. When judgements are subjective, or partially subjective, both the weight assignment and justification of its <i>consistency</i> is often problematic. The method of <i>pairwise comparisons</i> is a very helpful technique that can be used to validate weights assignments and to justify their consistency. In this paper two <i>quantitative</i> models and one <i>qualitative</i> model of pairwise comparisons are merged together, resulting in a convenient procedure for finding <i>consistent</i> weights and provide <i>consistent</i> ranking. Moreover, three applications, in different areas, of that procedure are given. Often neglected, the weights correction problem is also discussed. Journal: Int. J. of Management and Decision Making Pages: 322-347 Issue: 3 Volume: 17 Year: 2018 Keywords: pairwise comparisons; weights assignment; consistency; ranking. File-URL: http://www.inderscience.com/link.php?id=93503 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:3:p:322-347 Template-Type: ReDIF-Article 1.0 Author-Name: Antonella Certa Author-X-Name-First: Antonella Author-X-Name-Last: Certa Author-Name: Mario Enea Author-X-Name-First: Mario Author-X-Name-Last: Enea Author-Name: Giacomo Maria Galante Author-X-Name-First: Giacomo Maria Author-X-Name-Last: Galante Author-Name: Joaquín Izquierdo Author-X-Name-First: Joaquín Author-X-Name-Last: Izquierdo Author-Name: Concetta Manuela La Fata Author-X-Name-First: Concetta Manuela La Author-X-Name-Last: Fata Title: Food safety risk analysis from the producers' perspective: prioritisation of production process stages by HACCP and TOPSIS 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 prioritisation 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 consumer's 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. Journal: Int. J. of Management and Decision Making Pages: 396-414 Issue: 4 Volume: 17 Year: 2018 Keywords: analysis of production process stages; food safety risk analysis; hazard analysis and critical control point; HACCP; TOPSIS. File-URL: http://www.inderscience.com/link.php?id=95720 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:4:p:396-414 Template-Type: ReDIF-Article 1.0 Author-Name: Alice Rondini Author-X-Name-First: Alice Author-X-Name-Last: Rondini Author-Name: Alexandra Lagorio Author-X-Name-First: Alexandra Author-X-Name-Last: Lagorio Author-Name: Roberto Pinto Author-X-Name-First: Roberto Author-X-Name-Last: Pinto Author-Name: Giuditta Pezzotta Author-X-Name-First: Giuditta Author-X-Name-Last: Pezzotta Title: A multi-criteria decision making approach for prioritising product-service systems implementation in smart cities 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 fuelling 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 prioritise SCPSS from three perspectives: 1) the municipality; 2) the citizens; 3) 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. Journal: Int. J. of Management and Decision Making Pages: 415-446 Issue: 4 Volume: 17 Year: 2018 Keywords: product service system; multi-criteria decision making; MCDM; smart city; sustainability; TOPSIS; IPA; EVA method; Pugh matrix. File-URL: http://www.inderscience.com/link.php?id=95729 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:4:p:415-446 Template-Type: ReDIF-Article 1.0 Author-Name: Aurelio Tronci Author-X-Name-First: Aurelio Author-X-Name-Last: Tronci Author-Name: Pier Francesco Orrù Author-X-Name-First: Pier Francesco Author-X-Name-Last: Orrù Author-Name: Pasquale Buonadonna Author-X-Name-First: Pasquale Author-X-Name-Last: Buonadonna Title: Product quality and energy consumption optimisation of dyeing fixing process by steaming through DOE analysis: a cotton case study 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-factor (team flow rate and steaming time) and three-level 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, and economical savings. Journal: Int. J. of Management and Decision Making Pages: 467-487 Issue: 4 Volume: 17 Year: 2018 Keywords: design of experiments; DOE; product quality; energy savings; cotton; steaming. File-URL: http://www.inderscience.com/link.php?id=95730 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:4:p:467-487 Template-Type: ReDIF-Article 1.0 Author-Name: Reza Babazadeh Author-X-Name-First: Reza Author-X-Name-Last: Babazadeh Author-Name: Ali Sabbaghnia Author-X-Name-First: Ali Author-X-Name-Last: Sabbaghnia Title: Optimisation of supply chain networks under uncertainty: conditional value at risk approach Abstract: Supply chain network design is one of the strategic level decisions related to supply chain management and optimal determination of its decisions assures responsiveness of the supply chain. The important parameters of the supply chain network design problem are uncertain ones due to the strategic nature of the problem. Therefore, to determine optimal and robust decisions in supply chain network design problem, it is essential to employ efficient risk and uncertainty management tools. Conditional value at risk (CVaR) and robust stochastic programming approaches are two efficient tools to deal with uncertainty. In this paper, first, modelling of these two approaches in a supply chain network design problem is presented and then their performances are evaluated and compared under uncertainty. The case study of this study includes supply chain network design of a medium-density fibreboard (MDF) industry. Results show that the CVaR model provides solutions with higher degree of robustness compared to the robust stochastic programming approach. Journal: Int. J. of Management and Decision Making Pages: 488-508 Issue: 4 Volume: 17 Year: 2018 Keywords: supply chain network design; SCND; uncertainty; conditional value at risk; CVaR; robust stochastic programming. File-URL: http://www.inderscience.com/link.php?id=95736 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:4:p:488-508 Template-Type: ReDIF-Article 1.0 Author-Name: Luca Fumagalli Author-X-Name-First: Luca Author-X-Name-Last: Fumagalli Author-Name: Elisa Negri Author-X-Name-First: Elisa Author-X-Name-Last: Negri Author-Name: Edoardo Sottoriva Author-X-Name-First: Edoardo Author-X-Name-Last: Sottoriva Author-Name: Adalberto Polenghi Author-X-Name-First: Adalberto Author-X-Name-Last: Polenghi Author-Name: Marco Macchi Author-X-Name-First: Marco Author-X-Name-Last: Macchi Title: A novel scheduling framework: integrating genetic algorithms and discrete event simulation Abstract: Most of the research works on methods and techniques for solving the job-shop scheduling problem (JSSP) propose theoretically powerful optimisation algorithms that indeed are practically difficult to apply in real industrial scenarios due to the complexity of these production systems. This paper aims at filling the gap between research and industrial worlds by creating a framework of general applicability for solving the JSSP. Through a literature analysis, the constituent elements of the framework have been identified: an optimisation method that can solve NP-hard JSSP problem in a reasonable time, i.e., the genetic algorithm (GA), and a tool that allows precisely modelling the production system and evaluating the goodness of the schedules, i.e., a simulation model. A case study of a company that bases its business in the manufacturing of aerospace components proved the applicability of the proposed framework. Journal: Int. J. of Management and Decision Making Pages: 371-395 Issue: 4 Volume: 17 Year: 2018 Keywords: scheduling framework; job-shop; job-shop scheduling problem; JSSP; genetic algorithm; discrete event simulation; DES. File-URL: http://www.inderscience.com/link.php?id=95738 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:4:p:371-395 Template-Type: ReDIF-Article 1.0 Author-Name: Giovanni Mazzuto Author-X-Name-First: Giovanni Author-X-Name-Last: Mazzuto Author-Name: Maurizio Bevilacqua Author-X-Name-First: Maurizio Author-X-Name-Last: Bevilacqua Title: A decision-making application for project management through timed coloured Petri nets Abstract: Traditional techniques for project modelling do not incorporate some factors that are essential for resource planning and management. This research aims at underlining the benefits of timed coloured Petri nets in the project management area and assist managers during the resource allocation activity in projects under constraints, commonly encountered in practice. The outcomes allow managers to have detailed knowledge of project development. Traditional information, such as the resources consumption, critical project path and the project cost baseline, are combined with untraditional information also derived by TCPNs. The project simulation can yield lots of information concerning the system performance for a better project scheduling and control since TCPNs provide a powerful formalism for representing and analysing parallel systems. The 'what if' analysis, during the project simulation, allows identifying critical behaviour and highlight discrepancies between what is planned and what is executing defining possible corrective actions. Journal: Int. J. of Management and Decision Making Pages: 447-466 Issue: 4 Volume: 17 Year: 2018 Keywords: timed coloured Petri net; project management; decision making; project performance. File-URL: http://www.inderscience.com/link.php?id=95739 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:17:y:2018:i:4:p:447-466