Just‐ In‐ Time : Some Effects on the Logistics Function

Swenseth, Scott R.; Buffa, Frank P.

doi:10.1108/09574099010804617

Cited by 22 publications

(13 citation statements)

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“…Other fields of research where the inventory-theoretic framework has been applied include the topics of interaction/cooperation between different agents in the supply chain (Allen et al, 1985;Sheffi, 1985;Tyworth and Zeng, 1998), consolidation, i.e. grouping several small shipments into one large shipment Buffa, 1986aBuffa, , b, 1987Swenseth and Buffa, 1990), order splitting, i.e. placing an order with two or more suppliers instead of a single supplier (Ganeshan et al, 1999;Dullaert et al, 2005), distribution network design (Perl and Sirisoponsilp, 1988;Campbell, 1990), and a comparison of distribution strategies .…”

Section: Literature Reviewmentioning

confidence: 99%

Towards a Modal Shift in Freight Transport? A Business Logistics Analysis of Some Policy Measures

et al. 2006

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This paper analyses the effectiveness of policy measures aimed at triggering a modal shift in the freight transport market. The analysis is based on the inventory-theoretic framework that studies modal choice from a business logistics viewpoint. The crux of the inventory-theoretic approach lies in the fact that explicit attention is paid to all costs in the supply chain that are affected by the choice of transport mode. After a brief literature review on the inventory-theoretic framework, the framework is used to calculate the market shares of different freight transport modes for a hypothetical transport market. In a second step, the impact of some policy measures on the market shares of the transport modes is calculated. By way of illustration, the analysis is applied to the market for container transport from a seaport to its hinterland. It is shown that a combination of certain policy measures can lead to significant modal shifts from road transport to intermodal transport.

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Section: Literature Reviewmentioning

confidence: 99%

Towards a Modal Shift in Freight Transport? A Business Logistics Analysis of Some Policy Measures

et al. 2006

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“…We utilized the same methodology as [16,[27][28][29] to determine the distribution cost, which is incurred by the distribution substation. The distribution cost for partial load F based on the adjusted inverse function can be calculated using the equation below:…”

Section: The Distribution Costmentioning

confidence: 99%

The Effect of Price-Dependent Demand on the Sustainable Electrical Energy Supply Chain

2018

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Abstract:In order to identify the optimal structure of an electricity power network under the main assumption of a price dependent demand of electrical energy, we presented an optimization model that aims at analyzing the effect of price-dependent demand on the sustainable electrical supply chain system (SESCS). The system included a power generation system, transmission and distribution substations, and many customers. The electrical energy was generated and transmitted through multiple substations to our customers, and the demand for electricity by the customers is dependent on the price of electricity. In the study, we considered the transmission and the distribution costs which depend on the capacities of power generation, transmission rates and distances between stations. We utilized the inventory theory to develop our model and proposed a procedure to derive an optimal solution for this problem. Finally, numerical examples and sensitivity analysis are provided to illustrate our study and consolidate managerial insights.

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“…It is due to more than 50% of total annual logistic costs can be pointed toward transportation that known as freight cost [7]. Freight costs here are the function of shipping weight and distance [8]. Therefore, delivery lot size has a direct impact to the total freight cost of each shipment.…”

Section: Introductionmentioning

confidence: 99%

Incorporating Transportation Cost into Joint Economic Lot Size For Single Vendor-Buyer

Leuveano¹,

Jafar²,

Saleh³

et al. 2014

JSW

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Considerable attention to coordinate the system between buyer and vendor has become an interesting issue to efficiently increase the performance of supply chain activities. Joint economic lot size model (JELS) has been introduced by many researchers as the spirit of coordinating the flow of material from the vendor to its downstream. As an inventory replenishment technique, JELS model is centered on reducing joint total cost of vendor and buyer by simultaneously deciding optimal delivery lot size, number of deliveries, and batch production lot. It is appropriate to take into account transportation costs as the function shipping weight and distance since delivery lot size has interrelated with shipping weight. Hence, this study constitutes an effort to develop the model of JELS by incorporating transportation cost. The solution procedure of the model is developed for solving two problems which are incapacitated and capacitated model. In addition, numerical examples were provided to illustrate the feasibility of the solution procedure in deriving optimal solution. The result presents central decision making which is useful for coordination and collaboration between vendor and buyer.

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Just‐ In‐ Time : Some Effects on the Logistics Function

Cited by 22 publications

References 0 publications

Towards a Modal Shift in Freight Transport? A Business Logistics Analysis of Some Policy Measures

Towards a Modal Shift in Freight Transport? A Business Logistics Analysis of Some Policy Measures

The Effect of Price-Dependent Demand on the Sustainable Electrical Energy Supply Chain

Incorporating Transportation Cost into Joint Economic Lot Size For Single Vendor-Buyer

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