1,721,285 research outputs found
Dynamic modeling of networks and logistic complex systems
Full text linkModern supply chains usually provide very complex inter- correlations between various actors: suppliers, manufacturers, distributors, customers, etc. Such inter-correlations are not only based on material flows but also on data and financial flows.
Discussions about alternatives for traditional goods and services distribution in the company are becoming more frequent, as the constantly increasing demands and requirements of the market put pressure on suppliers and manufacturers logistics. Therefore, this need is emphasized by the growing of industrial systems complexity and its indirect and drown costs, increasing day by day.
The terms Supply Network and Business Web are now interchangeable in the way they are used to summarise flow in supply chains (Tapscott, 2000).
Distribution Webs and Supply Networks are urgently demanding new effective management strategies to preserve competitiveness, increase organization and control the complexity level increment.
This dissertation touches upon the fundamental theories of Distribution Network Optimization and Supply Network Complexity Analysis, it proposes new techniques to characterize peculiar Supply Network aspects and underline the importance of adequate systemic approaches and software support in the development of this particular discipline.
This work has four main goals:
1. Show how Goods Delivery Distribution Optimization is feasible and critical to creates efficient networks
2. Investigate how the issue of Distribution Network Design is crucial in order to increase efficiency and competitiveness
3. Assess the performance of new algorithms for industrial network complexity control and computation;
4. Develop new quantitative measurements of complexity for supply networks based on Network Analysis, which is often used to study natural ecosystems, focusing in particular on the concept of entropy of information (derived by Shannon, 1948).
All these accomplishment are associated with appropriate software applications.
The dissertation is divided in three Parts (1. Theoretical framework, 2. New network analysis methodologies development, 3. Three published papers collection).
This work, conducted with a profitable interdisciplinary collaboration with the Department of Ecology and Evolutionary Biology at Michigan University (Ann Arbour), is devoted to investigate alternatives for goods distribution in Supply Networks and develop advances in both theories on Supply Network Design problem and on its application to industrial contexts.
The new interdisciplinary approaches developed exploit new performances indexes to map the exchange of goods and information between different actors in a complex supply chain and show how Network Analysis and systemic approaches are relevant tools in providing a new perspective in defining supply network organization and complexity
A Sustainable EOQ Model: theoretical formulation and applications
No full textTraditional inventory models involve different decisions that attempt to optimize material lot sizes by minimizing total annual supply chain costs by an economic point of view.
However, the increasing concern on the environmental problems stresses the need to treat inventory management decisions as a whole by integrating economic and environmental objectives. Recent studies have underlined the need to incorporate additional criteria in traditional inventory models in order to design “responsible inventory systems”. This paper explores the integration of factors affecting the environmental impact within the traditional EOQ model and proposes a “Sustainable EOQ Model”. All sustainability factors linked to the material purchasing lot size are here analyzed from the beginning of the purchasing order to the end of its life inside the buyer plant. Thus, the environmental impact of transportation and inventory is incorporated in the model and investigated by an economic point of view. In particular internal and external transportation costs, the vendor and supplier location and the different freight vehicle utilization ratio are considered in order to provide an easy-to-use methodology. The optimization approach is applied to representative data from industrial problems to assess the impact of sustainability considerations on purchasing decisions if compared with the traditional approaches. Finally, an illustration of the effect of using the new “Sustainable EOQ model” is presented and discussed
Micrologistica in Sanità. Distributore intelligente di farmaci: più sicurezza e meno costi
No full textLe soluzioni di micro logistica di tipo ingegneristico intervengono con efficacia laddove occorre alleggerire le attività di somministrazione dei farmaci da parte delle infermiere di reparto, garantendo sicurezza e agevolando il controllo delle scorte
Ergo-Balancing in Assembly Lines based on Energy Expenditure Rate
No full textIn many assembly systems, ergonomics impacts in relevant way on productivity and human safety. Traditional optimization approaches considers only time variables.
In this paper an innovative balancing model is developed including the ergonomics aspect, defined by energy expenditure rate, based on main features of assembly workstations. First, a comparison between time and energy balancing is carried out, and then a new integrated analytical model is introduced to have a unique objective function.
A real case allows the validation of the approach and some further researches are defined
Editorial of the Special Issue: Sourcing and outsourcing decisions for a sustainable healthcare supply chain: opportunities, challenges and leading practices
No full textEditorial (NO ABSTRACT
Spare parts management: a comparison between (s,s) policy with delayed ordering and policy based on binomial distribution and total cost
No full textSpare parts management is a critical issue for the companies due to the typical characteristics of this kind of items, high unit value, high level of technology, non-regular demand and specialized uses. Generally, this problem is faced with two different strategies: more accuracy in demand forecasting models and improving the spare parts inventory management. This proposed research deals with this latter aspect and it compares two different inventory management policies, previous presented in literature. The studied policies are the (s,S) one with delayed ordering, introduced by Teunter et al (2012) and policy based on binomial distribution and total cost function, developed by Persona et al (2006). Their applications to several scenarios are deeply analyzed, varying the main variables, like costs, lifetime parameters, number of requirements and others. Finally, several considerations about the analyzed policies are reported and further researches are discussed
Ergo-picking: multi-objective approach to consider ergonomics aspects in picking systems design and management
No full textOne of the most time consuming activities in the logistic systems, with important energy expenditure, is picking. Traditional optimization approaches considers only time variables.
In this paper an innovative multi-objective model has been developed to design picking systems considering also the ergonomics aspect, defined by energy expenditure, based on main features of these systems, such as: location, characteristics of the piece and handling systems.
Several real case studies have allowed the validation using an innovative motion capture system with an integrated ergonomic evaluation tool
A sustainable EOQ model: Theoretical formulation and applications
No full textTraditional inventory models involve different decisions that attempt to optimize material lot sizes by minimizing total annual supply chain costs. However, the increasing concern on environmental issues stresses the need to treat inventory management decisions as a whole, by integrating economic and environmental objectives. Recent studies have underlined the need to incorporate additional criteria in traditional inventory models in order to design "responsible inventory systems". This paper explores the integration of factors affecting the environmental impact within the traditional EOQ model and proposes a "Sustainable EOQ Model". All sustainability factors linked to the material lot size are analyzed from the beginning of the purchasing order to the end of its life inside the buyer plant. Thus, the environmental impact of transportation and inventory is incorporated in the model and investigated by an economic point of view. In particular internal and external transportation costs, vendor and supplier location and the different freight vehicle utilization ratio are considered in order to provide an easy-to-use methodology. The optimization approach is applied to representative data from industrial problems to assess the impact of sustainability considerations on purchasing decisions if compared with the traditional approaches. Finally, an illustration of the effect of using the new "Sustainable EOQ model" is presented and discussed
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