28 research outputs found
Addressing Behavior in Collaborative Networks
Part 10: Behavioral AspectsInternational audienceMany factors such as weak partner commitment, lack of proper partners’ alignment on interest and values, individualism, lack of flexibility, and loss of autonomy may cause partnership’s failures in collaborative networks. Most of these serious causes for conflicts in collaborative networks are rooted in partner’s behavior, therefore analyzing and modeling the behavioral aspects of collaborative networks are important to enforce their success. This paper first addresses two kinds of behavior related to collaborative networks including Individual Collaborative Behavior and Network Collective Behavior, and then introduces an approach to measure the comparative individual collaborative behavior of partners in networks
Towards a Green and Sustainable Manufacturing Planning and Control Paradigm Using APS Technology
Part 1: Knowledge-Based SustainabilityInternational audienceThis research aims at integrating a green perspective into manufacturing operations of companies through a new sustainable performance objective. The paper highlights the current trends in green and sustainable manufacturing and lines up different options for supporting this in current Advanced Planning and Scheduling Systems. Finally, requirements for future APS functionality is presented
Decision Support in Supply Chain Management for Disaster Relief in Somalia
Somalia, a country situated in Eastern Africa has been struggling
between rival warlords and an inability to deal with famine. Diseases have
resulted to the deaths of up to millions of people. According to a New York
Times article on 25 November 2011, Somalia has become a suffering and failed
state. The inadequate infrastructure and poorly planned logistics of Somalia
may lead to the destruction of the country.
To address these concerns, it is necessary that humanitarian aid is prepositioned
to provide victims with sufficient relief. This chapter addresses some
of the issues in supply chain management with the trade-off between stockpile
cost and shortage cost by using pre-emptive multi-objective programming. The
proposed criteria of the model are described. This is followed by a case study
based on Somalia, illustrating the functionality of the model.National Research Foundation and the University of Pretoria.http://www.springer.com/series/11156hb201