This paper builds upon the study by Bottani and Montanari (2011, pp.226–269). Here, the authors presented a simulation model to assess the performance of supply networks, and investigated economic order interval (EOI) and economic order quantity (EOQ) policies under several different operating conditions of the networks, including: the network configuration; the demand behaviour and stochasticity; the lead time stochasticity; the safety stocks coefficient. In this paper, we extend and complete the previous study by investigating the (S,s) policy, i.e., a periodic review policy with re-order points and order-up-to-levels. To this extent, we start by presenting a model to simulate the (S,s) policy; then, by maintaining the same simulation se...
In this paper, we analyze three traditional reorder policies, namely Economic Order Interval (EOI), ...
In this paper, we analyze three traditional reorder policies, namely Economic Order Interval (EOI), ...
In this paper, we address two main issues. First, we determine, through a simulation model, the opti...
This paper presents a simulation tool for the design and performance analysis of supply networks. Th...
This paper builds upon the study by Montanari et al. (2015). These authors presented a probabilistic...
This paper aims to analyse the dependencies between supply chain performance, i.e. stock and stock-o...
The lack of coordination among supply chain members and the local optimization of each member for hi...
The main objective of this study was to investigate the impact of forecast error, participant\u27s p...
In this paper, we analyze three traditional reorder policies (i.e., EOI, EOQ and S,s) applied to 5 d...
We focus on the problem of strategic network design in the context of multi-site enterprises. We dev...
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunct...
In this paper, we introduce a new demand probabilistic approach, named M.DPA.eoq (Montanari Demand P...
This case study quantifies the trade-off between customer service and inventory in a multimode suppl...
This paper is grounded on a discrete-event simulation model, reproducing a fast moving consumer good...
In the global network of businesses, supply chain and order fulfillment managements are the most cri...
In this paper, we analyze three traditional reorder policies, namely Economic Order Interval (EOI), ...
In this paper, we analyze three traditional reorder policies, namely Economic Order Interval (EOI), ...
In this paper, we address two main issues. First, we determine, through a simulation model, the opti...
This paper presents a simulation tool for the design and performance analysis of supply networks. Th...
This paper builds upon the study by Montanari et al. (2015). These authors presented a probabilistic...
This paper aims to analyse the dependencies between supply chain performance, i.e. stock and stock-o...
The lack of coordination among supply chain members and the local optimization of each member for hi...
The main objective of this study was to investigate the impact of forecast error, participant\u27s p...
In this paper, we analyze three traditional reorder policies (i.e., EOI, EOQ and S,s) applied to 5 d...
We focus on the problem of strategic network design in the context of multi-site enterprises. We dev...
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunct...
In this paper, we introduce a new demand probabilistic approach, named M.DPA.eoq (Montanari Demand P...
This case study quantifies the trade-off between customer service and inventory in a multimode suppl...
This paper is grounded on a discrete-event simulation model, reproducing a fast moving consumer good...
In the global network of businesses, supply chain and order fulfillment managements are the most cri...
In this paper, we analyze three traditional reorder policies, namely Economic Order Interval (EOI), ...
In this paper, we analyze three traditional reorder policies, namely Economic Order Interval (EOI), ...
In this paper, we address two main issues. First, we determine, through a simulation model, the opti...