A coordinated approach to hedge the risks in stochastic inventory-routing problem

Chen, Yee Ming; Lin, Chun-Ta

doi:10.1016/j.cie.2008.09.044

Cited by 36 publications

(18 citation statements)

References 20 publications

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“…Li et al (2008) integrated replenishment procedure in IRPs without shortage consideration. Chen and Lin (2009) addressed multi-product and period IRP optimization models by considering stochastic demand and risk aversion. Abdelmaguid et al (2009) considered multi-period IRP with backlogging.…”

Section: Literature Reviewmentioning

confidence: 99%

A multi-objective healthcare inventory routing problem; a fuzzy possibilistic approach

Niakan

Rahimi

2015

Transportation Research Part E: Logistics and Transportation Re

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Section: Literature Reviewmentioning

confidence: 99%

A multi-objective healthcare inventory routing problem; a fuzzy possibilistic approach

Niakan

Rahimi

2015

Transportation Research Part E: Logistics and Transportation Re

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“…A hedge-based stochastic inventory routing system (HSIRS), which is able to deal with multi-product, multi-period replenishment policies with limited vehicle capacity and time window constraints is proposed [7]. There are three goals that should be achieved simultaneously to maximize the net present value or minimize the total cost in this two-echelon food supply chain.…”

Section: Hedge-based Stochastic Inventory Routing Systemmentioning

confidence: 99%

Evolutionary Approach in Inventory Routing Problem

Simić

2013

Advances in Computational Intelligence

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Abstract. Most companies recognize the need for the integration and coordination of various components in logistics and supply chain management as an important factor. This paper presents an evolutionary approach to modeling and optimization on inventory routing problem of inventory management, logistics distribution and supply chain management. The aim of this research is to present different individual evolutionary approach, and to obtain power extension of these hybrid approaches. In general, these evolutionary hybrid approaches are more competitive than classic problem-solving methodology including improved heuristics methods or individual bio-inspired methods and their solutions in inventory management, logistics distribution and supply chain.

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“…Papers [16,17] presented a comprehensive literature review regarding IRPs. They can be broadly categorized according to the following criteria: finite or infinite planning horizons [16,18], single or multi-period [19], single or multi-customer [20,21], single or multi-product [22], identical or non-identical vehicles [23], and deterministic or stochastic demand [24]. Several other variants of IRPs can also be found, such as IRPs with direct deliveries [25] or with transshipment options [26][27][28].…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-Product Multi-Period Inventory Routing Optimization with Time Window Constrains

Xiao¹,

Rao²

2016

Int. j. simul. model.

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The concept of the green supply chain leads to the recent expansion of the green logistics investigation. Under the mode of VMI (vendor managed inventory), integrating the inventory and routing of the supplier and the customer as a whole is vital to achieve the optimization of total distribution cost in distribution logistics systems. In this paper, the inventory routing problems on a two-echelon logistics system composed of a single distribution centre and multiple customers for multi-product in multi-period with time constrains is studied under the conditions of VMI strategy. Both inventory costs and distribution costs are considered in the logistics system, and an improved fuzzy genetic algorithm is proposed to solve the optimization model of IRP (inventory routing problems) for multi-product in multi-period with time constrains. It has been proved that the proposed algorithm is a very efficient approach for the IRPs. Finally, the effectiveness of the proposed algorithm and the optimization model are demonstrated through simulation of computational experiments.

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A coordinated approach to hedge the risks in stochastic inventory-routing problem

Cited by 36 publications

References 20 publications

A multi-objective healthcare inventory routing problem; a fuzzy possibilistic approach

A multi-objective healthcare inventory routing problem; a fuzzy possibilistic approach

Evolutionary Approach in Inventory Routing Problem

Multi-Product Multi-Period Inventory Routing Optimization with Time Window Constrains

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