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1 – 7 of 7Miguel Angel Ortíz-Barrios, Stephany Lucia Madrid-Sierra, Antonella Petrillo and Luis E. Quezada
Food manufacturing supply chain systems are the most relevant wheels of the world economy since they provide essential products supporting daily life. Nevertheless, various supply…
Abstract
Purpose
Food manufacturing supply chain systems are the most relevant wheels of the world economy since they provide essential products supporting daily life. Nevertheless, various supply inefficiencies have been reported to compromise food safety in different regions. Sustainable supplier management and digitalization practices have become cornerstone activities in addressing these shortcomings. Therefore, this paper proposes an integrated method for sustainability management in digital manufacturing supply chain systems (DMSCS) from the food industry.
Design/methodology/approach
The Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) was used to weigh the criteria and subcriteria under uncertainty. Second, the Intuitionistic Fuzzy Decision-Making Trial and Evaluation Laboratory (IF-DEMATEL) was applied to determine the main DMSCS sustainability drivers whilst incorporating the expert's hesitancy. Finally, the Combined Compromise Solution (CoCoSo) was implemented to pinpoint the weaknesses hindering DMSCS sustainability. A case study from the pork supply chain was presented to validate this method.
Findings
The most important criterion for DMSCS sustainability management is “location” while “manufacturing capacity” is the most significant dispatcher.
Originality/value
This paper presents a novel approach integrating IF-AHP, IF-DEMATEL, and CoCoSo methods for sustainability management of DMSCS pillaring the food industry.
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Miguel Angel Ortiz-Barrios, Zulmeira Herrera-Fontalvo, Javier Rúa-Muñoz, Saimon Ojeda-Gutiérrez, Fabio De Felice and Antonella Petrillo
The risk of adverse events in a hospital evaluation is an important process in healthcare management. It involves several technical, social, and economical aspects. The purpose of…
Abstract
Purpose
The risk of adverse events in a hospital evaluation is an important process in healthcare management. It involves several technical, social, and economical aspects. The purpose of this paper is to propose an integrated approach to evaluate the risk of adverse events in the hospital sector.
Design/methodology/approach
This paper aims to provide a decision-making framework to evaluate hospital service. Three well-known methods are applied. More specifically are proposed the following methods: analytic hierarchy process (AHP), a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology developed by Thomas L. Saaty in the 1970s; decision-making trial and evaluation laboratory (DEMATEL) to construct interrelations between criteria/factors and VIKOR method, a commonly used multiple-criteria decision analysis technique for determining a compromise solution and improving the quality of decision making.
Findings
The example provided has demonstrated that the proposed approach is an effective and useful tool to assess the risk of adverse events in the hospital sector. The results could help the hospital identify its high performance level and take appropriate measures in advance to prevent adverse events. The authors can conclude that the promising results obtained in applying the AHP–DEMATEL–VIKOR method suggest that the hybrid method can be used to create decision aids that it simplifies the shared decision-making process.
Originality/value
This paper presents a novel approach based on the integration of AHP, DEMATEL and VIKOR methods. The final aim is to propose a robust methodology to overcome disadvantages associated with each method.
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Antonella Petrillo, Gianpaolo Di Bona, Antonio Forcina and Alessandro Silvestri
The purpose of this paper is to build a theoretic and practical framework, based on agile project management, to support the decision-making process in order to help companies in…
Abstract
Purpose
The purpose of this paper is to build a theoretic and practical framework, based on agile project management, to support the decision-making process in order to help companies in optimizing the reengineering production processes and improve management costs.
Design/methodology/approach
This paper seeks to propose an agile Reengineering Performance Model (ARPM) for managing projects of reengineering of processes and applies it in a real case study concerning a water bottling plant.
Findings
The proposed model should serve as a valuable tool to facilitate a successful business process reengineering design in the project management and intends to assist companies as they operate projects of transferring and optimizing production lines. Thanks to the use of ARPM tools, it is easy to modify the evolution of the project, with the possibility of extending or enhancing the application if necessary.
Research limitations/implications
The main limits of the ARPM model are: it requires close collaboration among team; it is rather intense for developers; and it is necessary flexibility to change course as needed and to ensure delivery of the right product.
Practical implications
The main implications of the authors’ work for research and business are to propose a structured methodological approach, rigorous but simple, suitable to implement in any companies.
Originality/value
The novelty of the approach is to apply the agile approach not for software development but in a manufacturing company.
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Gianpaolo Di Bona, Antonio Forcina, Antonella Petrillo, Fabio De Felice and Alessandro Silvestri
The paper aims to evaluate reliability allocation using an aerospace system prototype. The proposed approach has been applied and compared with other traditional methods on an…
Abstract
Purpose
The paper aims to evaluate reliability allocation using an aerospace system prototype. The proposed approach has been applied and compared with other traditional methods on an aerospace system prototype, where the reliability allocation process is rigorous.
Design/methodology/approach
The new approach is based on Integrated factors Method (IFM), whose values are adjusted trough a multicriteria method, the Analytic Hierarchy Process, depending on the importance of each factor and each unit of the system. The result is a dynamic model, that combines the advantages of the allocation method and the multicriteria decision-making technique.
Findings
The reasons that led to the development of the IFM based AHP are the outcome of a careful analysis of the current military and commercial approaches. In particular most of analyzed methods use constant weights for the factors involved in the reliability allocation; different weights are rarely assigned to these factors.
Research limitations/implications
There is no limitation for implementation of A-IFM reliability allocation model in very large and complex systems, and it can therefore provide an improved structured arrangement for reliability allocation. Therefore, researchers are encouraged to test the proposed propositions further.
Practical implications
The proposed method offers several benefits compared with current military and commercial approaches.
Originality/value
The computational results clearly demonstrate the effectiveness of the new approach and its ability to overcome the criticalities highlighted in literature.
Fabio De Felice, Antonella Petrillo and Alessandro Silvestri
Nowadays, especially after the recent financial downturn, companies are looking for much more efficient and creative business processes management. They need to place better…
Abstract
Purpose
Nowadays, especially after the recent financial downturn, companies are looking for much more efficient and creative business processes management. They need to place better solutions on the market in less time and with lower costs. Companies are achieving these goals of efficiency always more by using the offshoring strategy. It commonly describes a company’s relocation of a business process from one country to another, typically manufacturing processes towards low-cost countries (Brazil, Russia, India, China and South Africa – BRICS area). The purpose of this paper is to propose a methodological approach based on project management tools that supports the decision-making process in order to help companies in optimizing the re-engineering production processes and improve management costs. The framework provided in this paper is grounded on available literature and from the authors’ personal experiences in managing several projects.
Design/methodology/approach
This paper seeks to propose a Project Management Process Reengineering performance model (PMPR) for managing projects of reengineering of processes and applies it in a real case study concerning the relocation of an automotive glass production line.
Findings
The model proposed in this paper should serve as a valuable tool to facilitate a successful BPR design in the project management and intends to assist companies as they operate projects of transferring and optimizing production lines.
Originality/value
This paper proposes a PMPR model with a methodological approach which integrates efficiency and effectiveness estimators applicable to company needs. Thus, the aim of the paper is to develop a methodology and technical approach for the redesign and realization of a production line in consequence of its relocation.
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Douglas Omoregie Aghimien, Clinton Ohis Aigbavboa and Ayodeji Emmanuel Oke
The construction organisations in developing countries are lagging in digital technology usage; hence, they are still characterised by poor project delivery and technological…
Abstract
Purpose
The construction organisations in developing countries are lagging in digital technology usage; hence, they are still characterised by poor project delivery and technological backwardness. To checkmate this problem, partnering with other organisations was proposed, while critical factors needed for successful digital partnering of construction organisations were assessed.
Design/methodology/approach
The study adopted a qualitative research approach. Delphi method was used to get experts' opinion on some identified factors necessary for successful digital partnering. The experts for the study were selected using defined criteria, and a combination of interquartile deviation, Kendall's coefficient of concordance and chi-square was used to achieve robust consensus among respondents. Mann–Whitney U test was also used to ascertain the difference in perception of experts.
Findings
The findings revealed trust in digital partners, top management support and digital partner selection as the three key success factors for partnering. Other factors that can be considered alongside these main factors are the creation of a common goal, a long-term commitment, effective communication, proper conflict resolution and structured as well as continuous digital training, workshops and meetings.
Practical implications
Instead of going through the digitalisation journey alone, construction organisations, particularly in a developing country like South Africa, stand a better chance of surviving the dynamic construction and digital environment by partnering with other organisations within and outside the industry. Carefully selecting the right partner, trusting in their capability and ensuring constant commitment is necessary for the success of the process.
Originality/value
The value of this study lies in its ability to showcase the critical success factors needed for effective digital partnering, an aspect that lacks adequate consideration in the digitalisation of construction industry discourse.
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The active role that the tourism sector assumes in increasing the Gross Domestic Product is by now recognized and this fact makes the operators in the sector considerably more…
Abstract
The active role that the tourism sector assumes in increasing the Gross Domestic Product is by now recognized and this fact makes the operators in the sector considerably more responsible. So all the companies that operate in the sector need a continous managerial adaptation such that renders them able to answer, time after time, the demand necessities.
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