Autonomic Approach to Planning and Scheduling in Networked Small Factories

Bonfatti, Flavio; Martinelli, L.; Monari, Paola

doi:10.1007/978-3-642-15961-9_35

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…M: minimise manufacturing cost , MILP (Jarimo and Salkari 2006), qualitative analysis (Feng and Yamashiro, 2006) M: Trust in networks (Beckett and Jones 2012), index of satisfaction degree, PSO algorithm (Huang, Gao, and Chen 2011) G: NOLAPS (Lau et al 2000), SSMS , VPA, MOP, DEA, ANP, Two-stage Manufacturing PS , SCOR model metrics (Bittencourt and Rabelo 2005), VBE (Angulo and Martin 2009), performance measurement , evaluation potential pool of partners , product design/supply chain alignment adopting a "design centric" approach , CPLM (Kim et al 2013), STEP-PDM standard T: CO-Design Platform (Germani et al 2010) T: MAS multiple contract negotiations , WizAN TOOL (Oliveira and Camarinha-Matos 2008), Agent-based simultaneous negotiation method for bilateral contracts in a multi agent market (Kebriaei and Majd 2009) Coordination Mechanisms Management G: game theory, tasks distribution (Smith and Randall 1981), auction theories (Ertogral and Wu, 2000), executed-oriented with control-oriented decision (Zimmer 2002), updating pricing policies (Luh et al 2003), contracts negotiation , negotiation rules , procurement policies and inventory control (Schneeweiss and Zimmer 2004), revenuesharing policy (Gupta and Weerawat 2006) M: quantity discount models, profit-sharing models, supply chain game models ( T: e-collaboration , MASCOT, Grid Computing (Shen et al 2006) M: multiobjective planning models under uncertainty (Gupta and Maranas 2003), collaborative planning process modelling view , algorithm for solving a set of non-linear mixed integer programming models (Wang and Chen 2009), IPPS ) G: OPS (Lario et al 2003) T: DGRAI , MASCOT (Sadeh et al 2001), MASCOPP , eXPlanTech, ProPlanT (Shen et al 2006), SCAMM-CPA , ACI (Bonfatti, Martinelli, and Monari 2010)…”

Section: Partners' Selectionmentioning

confidence: 99%

An Approach to support the Strategies Alignment Process in Collaborative Networks

Navarro¹

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Manufacturing enterprises are more and more aware of establishing collaborative relationships with the network partners, due to the advantages associated. CN consist of autonomous partners, each one defining its own objectives and formulating its own strategies. The strategies diversity may result in conflict situations, among the enterprises of the same CN, since contradictions between the strategies formulated might emerge. These contradictions appear when the strategies activated in one enterprise negatively influence the objectives defined by other enterprises of the network. The lack of coherence and concordance among the formulated strategies leads to its misalignment. The connotations derived from the strategies misalignments affect the achievement of enterprises objectives, reducing their performance levels, and influencing on the wellbeing of the collaborative relationships established. If the conflicts that arise, derived from the lack of strategies alignment, remain on time and are not tackled, the strategies misalignment could lead, in the long term, to the breakdown of the CN. The success of obtaining higher levels performance in the CN is directly related with the activation of a proper combination of strategies in each enterprise belonging to the network. This thesis proposes a complete approach, consisting of a model, a method, a guideline and a set of tools, used (i) to identify the degree of alignment of the strategies, from a holistic perspective, and (ii) to propose the activation of the aligned strategies.The main aim of this thesis is to provide the enterprises appropriate mechanisms to remove the strategies misalignment problem, in order to establish long-term collaborative relationships. The proposed solution is based on a mathematical model, which allows to formally modeling the strategies alignment process, solving it through systems dynamic (SD) method. SD allows representing causal relationships between the strategies and the objectives achievement, within the complex system formed by the enterprises of a CN. A performance measurement scheme is provided to quantitatively measure the influences between the strategies and the objectives. Moreover, a simulation tool is used to automatically solve, in a computer program, the proposed model, assessing and supporting the strategies alignment process.The contribution of this thesis has been validated in two industrial pilots belonging to the food and automotive industry.

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