Purpose -Assembly systems require uninterrupted components' availability to feed workstations. This paper aims to propose a methodology to help managers in evaluating and selecting the most suitable policy for materials delivery to the shop floor. The analysis focuses on three basic policies, namely kitting, just in time kanban-based continuous supply and line storage, even including class-based hybrid policies. Design/methodology/approach -Descriptive models are developed to design components' delivery systems and to compute their performances. Empirical criteria are utilized to associate specific policies to components classes in order to implement customized hybrid line feeding policies. A case study is then included to exemplify the method application and to show its capabilities as a decision making tool. Findings -Hybrid feeding policies may be preferable to a single feeding policy common to all components. This is shown in a representative case study. However, in general there is a priori superior method and only a comparison of alternative feeding policies based on objective performance measures can determine the best approach in specific industrial applications.Research limitations/implications -The methodology is aimed at preliminary sizing and selection of alternative line feeding systems in deterministic environments. It is not intended for detailed performance analysis of assembly systems. Practical implications -Production managers are given quantitative decision tools to properly select the components' delivery method at an early decision stage. This allows trade-offs between alternatives to be explored in order to deploy customized feeding policies differentiated on components basis to better fit specific company requirements. Originality/value -The paper extends previous descriptive models for line feeding systems and includes the possibility of hybrid policies.
This study proposes a model for the analysis and performance evaluation of e-supply chains (e-SCs), that are supply chains (SCs) in which actors are connected by Internet technologies. It is assumed that e-SC performances are influenced by the network organizational structures, by the criteria adopted to manage relationships among involved actors, and by the critical activities that the leading company performs. At first, the variables influencing such factors are identified and the interdependencies among them are analysed to establish existing correlations. This, in turn, enables one to group the values of the influencing factors in four coherent sets which are consistent with different business environments, thus assuring the effectiveness and efficiency to the e-SC. The obtained reference model is then tested by applying it to literature-based case studies. The output of this model may be used to design totally new e-SCs or to redesign the existing ones, in both manufacturing and services industries.
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