Real-world optimization problems involving multiple conflicting objectives are commonly best solved using multi-objective as this provides decision-makers with a family of trade-off solutions. However, the complexity algorithms often impedes process. Knowing which algorithm is most suitable for given problem, or even setup parameters to pick, requires someone be an specialist. The lack supporti...

As digitalization and technological innovations have blurred the line between physical and electronic channels, enormous growth rates in internet use have motivated most established retailers to expand their business to include online sales. These multichannel retailers are now under severe pressure from pure online retailers, since their physical infrastructure decreases their ability to compe...

Decision making is often complicated by the dynamic and uncertain information involved. This work unifies and generalizes the major approaches to modeling and solving a subclass of such decision problems. The relevant problem characteristics include discrete problem parameters, separable optimality functions, and sequential decisions made in stages. The relevant approaches include semi-Markov d...

Chapter 1: introduction ) ( Decision making is part of mankind life; this can be individual or group in decision. Human kind is facing to making decision every day. Decision makers are influenced by the surrounded environment; this environment ranges from personal characteristics and belief to the influence of friends and society. Thereby this integrated and complex environment has some impa...

Article history: Received 2 March 2011 Received in revised form 27 June 2011 Accepted 13 July 2011 Available online 9 August 2011 This paper explores how the foresight practices and techniques that might be used for coping with environmental uncertainty are coordinated throughout large corporations and how their results are used for supporting strategic decision making. Based on an in-depth and...

We present a computational model, MoralDM, which integrates several AI techniques in order to model recent psychological findings on moral decision-making. Current theories of moral decision-making extend beyond pure utilitarian models by relying on contextual factors that vary with culture. MoralDM uses a natural language system to produce formal representations from psychological stimuli, to ...

Enterprise resource planning (ERP) systems have gained major prominence by enabling companies to streamline their operations, leverage and integrate business data process. In order to implement an ERP project successfully, it is necessary to select an ERP system which can be aligned with the needs of the company. Thus, a robust decision making approach for ERP software selection requires both c...

Timely availability of expert support to the farmers for appropriate decision-making on ‘whether and what pest management option is required’ is imperative for effective Integrated Pest Management (IPM). For several decades Economic Threshold Level (ETL) has been the basis for decision-making but in modern IPM emphasis is given on agro-ecological situation wherein IPM decisions are based on lar...

Integrated modelling and environmental decision support are increasingly important as society tackles some of the most complex challenges of our generation, with impacts on future generations. When integrated modelling is successful, the results can be transformational yet the core elements for generating that success are not always clear. There is an elusive element to finding the best mix of ...

The complexity of decision-making in process industries and the need of highly competitive organizations require new supporting tools to coordinate and optimize the information flow among decision levels. This work presents a framework for integrating the scheduling and control decision levels by means of an ontology, which allows and coordinates the information exchange among the different mod...