Palgrave studies in sustainable business in association with Future Earth, 2020
As a consequence of global and local dynamics, the reality of doing business around the world is ... more As a consequence of global and local dynamics, the reality of doing business around the world is changing, which impinges upon Adam Smith’s “invisible hand” to self-regulate economic activities and shared social welfare while protecting humanity’s endowment: nature. The last two decades have witnessed an unprecedented scholarship and professional development on sustainability, social responsibility, and ethics in the business and management literature. We argue that the internalization of sustainability into responsible research in business and management (RRBM) should be explicitly founded on sustainable business value management, which is pluralistic (multiple stakeholders along the value chain), multi-criteria (multiple value dimensions), and long term (value accumulates and decays over time and space). Our position is aligned with all RRBM’s main principles, but particularly service to the society, stakeholder involvement and impact on stakeholders. In this chapter, we argue for the development of responsible decision-making frameworks in business and management that are founded on inclusivity of stakeholders (sometimes including reconciliation), multidimensional value (e.g., triple bottom line) creation, and long-term governance (in opposition to short-term). Sustainable value management is therefore not only about reporting, but also about changing the decision-making mind set, processes and methods.
Abstract The node placement problem involves positioning and configuring infrastructure for wirel... more Abstract The node placement problem involves positioning and configuring infrastructure for wireless networks. Applied to next generation networks, it establishes a new wireless architecture able to integrate heterogeneous components that can collaborate and exchange data. Furthermore, the heterogeneity of wireless networks makes the problem more intractable. This paper presents a novel multi-objective node placement problem that optimizes concurrently four objectives: maximizing communication coverage, minimizing the active structures’ costs, maximizing of the total capacity bandwidth and minimizing the noise level in the network. Known to be NP -hard, the problem can be approached by applying heuristics mainly for large problem instances. As the number of nodes to place is not determined beforehand; we propose to apply a multi-objective variable-length genetic algorithm (VLGA) that simultaneously searches for the optimal number, positions and nature of heterogeneous nodes and communication devices. The performance of the VLGA is highlighted through the implementation of a decision support system (DSS) applied to the surveillance maritime problem using real data instances. We compare the ability of the proposed algorithm with an existing multi-objective model from the literature in order to validate its effectiveness in dealing with heterogeneous components. The results show that the proposed model well fits the network architecture constraints with a better balance between the objectives applied to the surveillance problem.
The healthcare supply chain crisis surrounding Personal Protective Equipment (PPE) during the ons... more The healthcare supply chain crisis surrounding Personal Protective Equipment (PPE) during the onset of the COVID-19 pandemic presented unique and complex challenges in achieving the primary aim of supply chain management, that is, delivering the right amount of the right supplies to the right people at the right time. This article describes the key findings from a case study on PPE supply chain responses to the COVID-19 pandemic in British Columbia (BC). It highlights a set of constructive response mechanisms to potential crises along healthcare supply chain. Effective and trusted leadership, a unity of purpose, integrated and robust digital infrastructure and capabilities, consistent learning, resilience building, and environmental sensing for reliable intelligence were found to be essential for preparing, for containing, and mitigating the crisis as it evolved across various phases of crisis management.
This paper draws on the stochastic multi-period location-transportation problem (SMLTP) for study... more This paper draws on the stochastic multi-period location-transportation problem (SMLTP) for studying the impact of various types of operations anticipations on the quality of the supply chain network (SCN) designs obtained. The problem solving approach used to design SCNs involves the modeling of facility location decisions and of network operations decisions. Most SCN design models are extensions of deterministic locationallocation models incorporating anticipations based on aggregate arc flow variables and demand zones. This is a crude approximation and it could lead to bad designs. In this paper, several alternative approximate anticipations are proposed and tested in order to analyze their impact on the quality of the designs obtained. More precise anticipations however yield more complex models, and the tractability and solvability of these models is an issue because of their size and their underlying combinatorial-stochastic structures. The paper explores various accuracy-solvability tradeoffs for the SMLTP and it makes recommendations on modeling issues leading to better SCN design methodologies.
It has been argued in the stakeholder literature that rational decision making is implausible wit... more It has been argued in the stakeholder literature that rational decision making is implausible without using a single corporate objective function as a guide (e.g., shareholder wealth maximization, ...
Palgrave Studies in Sustainable Business In Association with Future Earth, 2020
As a consequence of global and local dynamics, the reality of doing business around the world is ... more As a consequence of global and local dynamics, the reality of doing business around the world is changing, which impinges upon Adam Smith’s “invisible hand” to self-regulate economic activities and shared social welfare while protecting humanity’s endowment: nature. The last two decades have witnessed an unprecedented scholarship and professional development on sustainability, social responsibility, and ethics in the business and management literature. We argue that the internalization of sustainability into responsible research in business and management (RRBM) should be explicitly founded on sustainable business value management, which is pluralistic (multiple stakeholders along the value chain), multi-criteria (multiple value dimensions), and long term (value accumulates and decays over time and space). Our position is aligned with all RRBM’s main principles, but particularly service to the society, stakeholder involvement and impact on stakeholders. In this chapter, we argue for the development of responsible decision-making frameworks in business and management that are founded on inclusivity of stakeholders (sometimes including reconciliation), multidimensional value (e.g., triple bottom line) creation, and long-term governance (in opposition to short-term). Sustainable value management is therefore not only about reporting, but also about changing the decision-making mind set, processes and methods.
approach to develop plans and orders for Canadian Forces operations. The CFOPP includes but is no... more approach to develop plans and orders for Canadian Forces operations. The CFOPP includes but is not limited to analysing the situation, identifying relevant factors, sketching courses of action, developing the commander’s guidance and decision, and producing detailed annexes necessary for orders and tasking of CF units. It is based on an Estimate Process. Defence Research and Development Canada (DRDC) is investigating computer-based decision support to improving the decision cycle and timeliness of orders and tasking. In this paper, we focus on key components of the CFOPP. In particular, this paper describes computer-based tools to support center of gravity analysis, decisive point analysis, risk management, criteria management, dynamic link management and decisionmatrix management. These tools have been embedded into DRDC Collaborative Operations Planning System (COPlanS), an integrated flexible suite of planning, decision
In the node placement problem for next generation network, an existing networks coverage is exten... more In the node placement problem for next generation network, an existing networks coverage is extended by placing new nodes and connecting them via ad hoc technologies so as the global network communication coverage is optimized. Four relevant objective functions are considered : The maximization of the communication coverage, the minimization of the nodes placement and the communication devices costs, the maximization of the total minimum capacity bandwidth to connect the infrastructure, and the minimization of the total overlapping. To tackle this problem, a new multi-objective variable length Pareto local search (VL-PLS) algorithm is proposed. The main incentive of the VL-PLS algorithm is that, in the proposed solution encoding, both substring and solution lengths dynamically vary leading to emphasize the optimization process and look for the optimal number of placed node. Three different neighborhood structures are presented in order to ensure a good exploration of the search space. A comparative study with an existing algorithm from the literature is dressed using different multi-objective performance metrics to support the performance of our algorithm.
International Journal of Applied Metaheuristic Computing, 2015
The present paper develops a multi–dimensional genetic algorithm for the Resource constrained pro... more The present paper develops a multi–dimensional genetic algorithm for the Resource constrained project scheduling problem. This algorithm performs a series of perturbations in an attempt to improve the current solution, applying some problem dependant genetic operators. The procedure used is efficient and easy to implement. The approach was tested on sets of standard problems freely available on the Internet (PSPLIB) and the results were compared to those found in the literature. It was found that the algorithm used is able to generate competitive results compared to the best methods known so far and computes, for the first time, four optimal solutions for four benchmark instance.
2007 10th International Conference on Information Fusion, 2007
This paper proposes an Automated Learning Method (ALM) based on Real-Coded Genetic Algorithm (RCG... more This paper proposes an Automated Learning Method (ALM) based on Real-Coded Genetic Algorithm (RCGA) to infer the Multi-Criteria Classifiers (MCC) parameters. The Multi-Criteria Classifiers (or Multi-Criteria Classification Methods) considered are based on concordance and discordance concepts. A military database of 2545 Forward Looking Infra-Red (FLIR) images representing eight different classes of ships is therefore used to test the performance of these classifiers. The empirical results of MCC are compared with those obtained by other classifiers (e.g. Bayes and Dempster-Shafer classifiers). In this paper, we show the benefits of cross-fertilization of multi-criteria classifiers and information fusion algorithms.
2007 10th International Conference on Information Fusion, 2007
This paper reviews multiple criteria classification methods (or multi-criteria classifiers), part... more This paper reviews multiple criteria classification methods (or multi-criteria classifiers), particularly those based on Concordance/Discordance concepts. The concordance refers to an aggregated metric indicating the truthfulness of a proposition according to a coalition of criteria. The discordance is an aggregated metric representing the strength of the opposition coalition to the truthfulness of the proposition. A generalized framework is proposed to synthesise the underlying computation algorithms for each classifier. In this paper, we argue the benefits of cross-fertilization of multiple criteria classification methods and information fusion algorithms.
... In the last step of this method, a binary linear programming model is proposed to establish f... more ... In the last step of this method, a binary linear programming model is proposed to establish from each non-transitive collective prs a collective preorder (or a transitive prs) on the alternative set. ... French (1956); Ramanathan and Ganesh (1994); Ben Abdelaziz et al. ...
Palgrave studies in sustainable business in association with Future Earth, 2020
As a consequence of global and local dynamics, the reality of doing business around the world is ... more As a consequence of global and local dynamics, the reality of doing business around the world is changing, which impinges upon Adam Smith’s “invisible hand” to self-regulate economic activities and shared social welfare while protecting humanity’s endowment: nature. The last two decades have witnessed an unprecedented scholarship and professional development on sustainability, social responsibility, and ethics in the business and management literature. We argue that the internalization of sustainability into responsible research in business and management (RRBM) should be explicitly founded on sustainable business value management, which is pluralistic (multiple stakeholders along the value chain), multi-criteria (multiple value dimensions), and long term (value accumulates and decays over time and space). Our position is aligned with all RRBM’s main principles, but particularly service to the society, stakeholder involvement and impact on stakeholders. In this chapter, we argue for the development of responsible decision-making frameworks in business and management that are founded on inclusivity of stakeholders (sometimes including reconciliation), multidimensional value (e.g., triple bottom line) creation, and long-term governance (in opposition to short-term). Sustainable value management is therefore not only about reporting, but also about changing the decision-making mind set, processes and methods.
Abstract The node placement problem involves positioning and configuring infrastructure for wirel... more Abstract The node placement problem involves positioning and configuring infrastructure for wireless networks. Applied to next generation networks, it establishes a new wireless architecture able to integrate heterogeneous components that can collaborate and exchange data. Furthermore, the heterogeneity of wireless networks makes the problem more intractable. This paper presents a novel multi-objective node placement problem that optimizes concurrently four objectives: maximizing communication coverage, minimizing the active structures’ costs, maximizing of the total capacity bandwidth and minimizing the noise level in the network. Known to be NP -hard, the problem can be approached by applying heuristics mainly for large problem instances. As the number of nodes to place is not determined beforehand; we propose to apply a multi-objective variable-length genetic algorithm (VLGA) that simultaneously searches for the optimal number, positions and nature of heterogeneous nodes and communication devices. The performance of the VLGA is highlighted through the implementation of a decision support system (DSS) applied to the surveillance maritime problem using real data instances. We compare the ability of the proposed algorithm with an existing multi-objective model from the literature in order to validate its effectiveness in dealing with heterogeneous components. The results show that the proposed model well fits the network architecture constraints with a better balance between the objectives applied to the surveillance problem.
The healthcare supply chain crisis surrounding Personal Protective Equipment (PPE) during the ons... more The healthcare supply chain crisis surrounding Personal Protective Equipment (PPE) during the onset of the COVID-19 pandemic presented unique and complex challenges in achieving the primary aim of supply chain management, that is, delivering the right amount of the right supplies to the right people at the right time. This article describes the key findings from a case study on PPE supply chain responses to the COVID-19 pandemic in British Columbia (BC). It highlights a set of constructive response mechanisms to potential crises along healthcare supply chain. Effective and trusted leadership, a unity of purpose, integrated and robust digital infrastructure and capabilities, consistent learning, resilience building, and environmental sensing for reliable intelligence were found to be essential for preparing, for containing, and mitigating the crisis as it evolved across various phases of crisis management.
This paper draws on the stochastic multi-period location-transportation problem (SMLTP) for study... more This paper draws on the stochastic multi-period location-transportation problem (SMLTP) for studying the impact of various types of operations anticipations on the quality of the supply chain network (SCN) designs obtained. The problem solving approach used to design SCNs involves the modeling of facility location decisions and of network operations decisions. Most SCN design models are extensions of deterministic locationallocation models incorporating anticipations based on aggregate arc flow variables and demand zones. This is a crude approximation and it could lead to bad designs. In this paper, several alternative approximate anticipations are proposed and tested in order to analyze their impact on the quality of the designs obtained. More precise anticipations however yield more complex models, and the tractability and solvability of these models is an issue because of their size and their underlying combinatorial-stochastic structures. The paper explores various accuracy-solvability tradeoffs for the SMLTP and it makes recommendations on modeling issues leading to better SCN design methodologies.
It has been argued in the stakeholder literature that rational decision making is implausible wit... more It has been argued in the stakeholder literature that rational decision making is implausible without using a single corporate objective function as a guide (e.g., shareholder wealth maximization, ...
Palgrave Studies in Sustainable Business In Association with Future Earth, 2020
As a consequence of global and local dynamics, the reality of doing business around the world is ... more As a consequence of global and local dynamics, the reality of doing business around the world is changing, which impinges upon Adam Smith’s “invisible hand” to self-regulate economic activities and shared social welfare while protecting humanity’s endowment: nature. The last two decades have witnessed an unprecedented scholarship and professional development on sustainability, social responsibility, and ethics in the business and management literature. We argue that the internalization of sustainability into responsible research in business and management (RRBM) should be explicitly founded on sustainable business value management, which is pluralistic (multiple stakeholders along the value chain), multi-criteria (multiple value dimensions), and long term (value accumulates and decays over time and space). Our position is aligned with all RRBM’s main principles, but particularly service to the society, stakeholder involvement and impact on stakeholders. In this chapter, we argue for the development of responsible decision-making frameworks in business and management that are founded on inclusivity of stakeholders (sometimes including reconciliation), multidimensional value (e.g., triple bottom line) creation, and long-term governance (in opposition to short-term). Sustainable value management is therefore not only about reporting, but also about changing the decision-making mind set, processes and methods.
approach to develop plans and orders for Canadian Forces operations. The CFOPP includes but is no... more approach to develop plans and orders for Canadian Forces operations. The CFOPP includes but is not limited to analysing the situation, identifying relevant factors, sketching courses of action, developing the commander’s guidance and decision, and producing detailed annexes necessary for orders and tasking of CF units. It is based on an Estimate Process. Defence Research and Development Canada (DRDC) is investigating computer-based decision support to improving the decision cycle and timeliness of orders and tasking. In this paper, we focus on key components of the CFOPP. In particular, this paper describes computer-based tools to support center of gravity analysis, decisive point analysis, risk management, criteria management, dynamic link management and decisionmatrix management. These tools have been embedded into DRDC Collaborative Operations Planning System (COPlanS), an integrated flexible suite of planning, decision
In the node placement problem for next generation network, an existing networks coverage is exten... more In the node placement problem for next generation network, an existing networks coverage is extended by placing new nodes and connecting them via ad hoc technologies so as the global network communication coverage is optimized. Four relevant objective functions are considered : The maximization of the communication coverage, the minimization of the nodes placement and the communication devices costs, the maximization of the total minimum capacity bandwidth to connect the infrastructure, and the minimization of the total overlapping. To tackle this problem, a new multi-objective variable length Pareto local search (VL-PLS) algorithm is proposed. The main incentive of the VL-PLS algorithm is that, in the proposed solution encoding, both substring and solution lengths dynamically vary leading to emphasize the optimization process and look for the optimal number of placed node. Three different neighborhood structures are presented in order to ensure a good exploration of the search space. A comparative study with an existing algorithm from the literature is dressed using different multi-objective performance metrics to support the performance of our algorithm.
International Journal of Applied Metaheuristic Computing, 2015
The present paper develops a multi–dimensional genetic algorithm for the Resource constrained pro... more The present paper develops a multi–dimensional genetic algorithm for the Resource constrained project scheduling problem. This algorithm performs a series of perturbations in an attempt to improve the current solution, applying some problem dependant genetic operators. The procedure used is efficient and easy to implement. The approach was tested on sets of standard problems freely available on the Internet (PSPLIB) and the results were compared to those found in the literature. It was found that the algorithm used is able to generate competitive results compared to the best methods known so far and computes, for the first time, four optimal solutions for four benchmark instance.
2007 10th International Conference on Information Fusion, 2007
This paper proposes an Automated Learning Method (ALM) based on Real-Coded Genetic Algorithm (RCG... more This paper proposes an Automated Learning Method (ALM) based on Real-Coded Genetic Algorithm (RCGA) to infer the Multi-Criteria Classifiers (MCC) parameters. The Multi-Criteria Classifiers (or Multi-Criteria Classification Methods) considered are based on concordance and discordance concepts. A military database of 2545 Forward Looking Infra-Red (FLIR) images representing eight different classes of ships is therefore used to test the performance of these classifiers. The empirical results of MCC are compared with those obtained by other classifiers (e.g. Bayes and Dempster-Shafer classifiers). In this paper, we show the benefits of cross-fertilization of multi-criteria classifiers and information fusion algorithms.
2007 10th International Conference on Information Fusion, 2007
This paper reviews multiple criteria classification methods (or multi-criteria classifiers), part... more This paper reviews multiple criteria classification methods (or multi-criteria classifiers), particularly those based on Concordance/Discordance concepts. The concordance refers to an aggregated metric indicating the truthfulness of a proposition according to a coalition of criteria. The discordance is an aggregated metric representing the strength of the opposition coalition to the truthfulness of the proposition. A generalized framework is proposed to synthesise the underlying computation algorithms for each classifier. In this paper, we argue the benefits of cross-fertilization of multiple criteria classification methods and information fusion algorithms.
... In the last step of this method, a binary linear programming model is proposed to establish f... more ... In the last step of this method, a binary linear programming model is proposed to establish from each non-transitive collective prs a collective preorder (or a transitive prs) on the alternative set. ... French (1956); Ramanathan and Ganesh (1994); Ben Abdelaziz et al. ...
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Papers by Adel Guitouni