scholarly journals Assessing the operational impact of tactical planning models for bike-sharing redistribution

2021 ◽  
Vol 150 ◽  
pp. 216-235
Author(s):  
Bruno Albert Neumann-Saavedra ◽  
Dirk Christian Mattfeld ◽  
Mike Hewitt
2008 ◽  
Vol 17 (2) ◽  
pp. 204-229 ◽  
Author(s):  
Michael Comelli ◽  
Michel Gourgand ◽  
David Lemoine

Author(s):  
Michael Comelli ◽  
Michel Gourgand ◽  
David Lemoine

2008 ◽  
Vol 38 (8) ◽  
pp. 2198-2211 ◽  
Author(s):  
D. Beaudoin ◽  
J.-M. Frayret ◽  
L. LeBel

This paper examines the problem of harvest capacity planning at a tactical level. Annual capacity planning allows planners to determine the number of contractors to hire per period throughout the year and to define the duration of their contracts. In practice, this process usually involves the analysis of historical data regarding the operational use of capacity and aggregated demand forecast, the output of which then serves to plan harvest operations. Although this form of hierarchical planning reduces the complexity of the task, the decomposition into subproblems that must be successively resolved can lead to infeasibility or poor use of harvesting capacity. The specific problem addressed here resides in how one can consider the operational impact of harvesting decisions taken at the tactical level to ensure a plan’s feasibility at the operational level. We present a tactical planning process based on Schneeweiss’ generic hierarchical modeling approach. A computational experiment demonstrates how a tactical planning process is influenced by the input of the operational level anticipation model. The anticipation approach we propose appears to be a valid method to better integrate key operational-level decisions into tactical plans.


2020 ◽  
Vol 41 (2) ◽  
pp. 267-276
Author(s):  
Nader Naderializadeh ◽  
Kevin A. Crowe ◽  
Reino Pulkki

In tactical forest management planning, the decisions required to meet the strategic plan are made, and these include: i) scheduling of spatially explicit harvest-blocks; ii) construction of a road-network required to access these blocks; and iii) transportation costs within the tactical forest planning area (hereafter only referred to as transportation costs) that emerge from the first two decisions. These three decisions are interdependent and should therefore be integrated in any optimization model. At present, this integration is not fully made. This is because: i) the integrated model is NP-hard, and exact solutions are not feasible for large and medium-sized forests; and ii) metaheuristic search algorithms, which can be used on larger forests, have not integrated transportation costs realistically.The economic consequences of not integrating transportation costs into tactical planning models has not been quantified and evaluated by researchers; and the objective of this paper is to fill this gap in knowledge. To this end, an exact solution approach is used to solve and compare two integrated models: i) a model in which transportation costs are included in the objective function, and b) a model in which transportation costs are excluded from the objective function. The models were applied to three forests ranging in area from 6628 to 19,677 ha.Results show that: i) the model which included transportation costs yielded solutions with major reductions in both transportation and total costs; and ii) that, as the forests to which the model was applied tripled in area (from 6628 ha to 19,677 ha), the percent reduction in total costs increased disproportionately – more than fivefold (from 3.9% to 21%). These results are important, for they indicate that the integration of transportation costs into a tactical planning model is of major economic consequence.


2011 ◽  
Vol 38 (5) ◽  
pp. 487-508 ◽  
Author(s):  
Xinxin Liu ◽  
Heng-Qing Ye ◽  
Xue-Ming Yuan

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