in [New York] .
Written in English
|LC Classifications||TS176 .F6|
|The Physical Object|
|Pagination||172,  l.|
|Number of Pages||172|
|LC Control Number||81467866|
This property, which is an extension of recent results obtained by Florian and Klein [Florian, Michael, Morton Klein. Deterministic production planning with concave costs and capacity constraints. Management Sci (1, September) 12–] and Love [Love, Steven F. Bounded production and inventory models with piecewise concave by: On the other hand, there is also a vast work on production planning problems and applications, involving capacities on production, set-up costs, backlogging, lost-sales, multi-item, multi-level Author: Yves Pochet. In the specific case of Production Planning, [Mula et al., ] showed the importance of uncertainties management models, and [Sahin et al., ] qualified the consideration of uncertainties in Author: Stephen C. Graves. This paper considers an economic lot sizing model with constant capacity, non-increasing setup cost, and convex inventory cost function. Algorithms with computational time of O(N×TD N)have been developed for solving the model, where N is the number of planning periods and TD N is the total demand. This study partially characterizes the optimal planning structure of the by:
"Deterministic Production Planning with Concave Costs and Capacity Constraints," Management Science, INFORMS, vol. 18(1), pages , September. Gadi Fibich & Arieh Gavious & Oded Lowengart, " Explicit Solutions of Optimization Models and Differential Games with Nonsmooth (Asymmetric) Reference-Price Effects," Operations Research Cited by: Michael Florian & Morton Klein, "Deterministic Production Planning with Concave Costs and Capacity Constraints," Management Science, INFORMS, vol. 18(1), pages , September. Kenneth R. Baker & Paul Dixon & Michael J. Magazine & Edward A. Silver, Inventory planning in a deterministic environment: Continuous time model concave costs with Alain BENSOUSSAN and Jean-Marie PROTH lnstttut Nattonal de Recherche en lnformattque et en automattque, _1~, ('hesnav, France Received August Revised September I. Introduction The purpose of this paper is to present several results concerning the inventory planning model in a Cited by: Florian, M., Klein, M.: Deterministic Production Planning with Concave Costs and Capacity Constraints. Management Scie 12–20 () CrossRef MathSciNet Google Scholar by: 4.
For Peer Review Only 1 Capacity and material requirement planning modelling by comparing deterministic and fuzzy models ∗∗ J. Mula 1∗, R. Poler 1, J.P. Garcia-Sabater 2 1CIGIP (Research Centre on Production Management and Engineering), Polytechnic University of Valencia, SpainCited by: 5 ima tutorial, stochastic optimization, september 9 information/model observations • evpi and vss: • always >= 0 (ws >= rp>= emv) • often different (ws=rp but rp > emv and vice versa) • fit circumstances: • cost to gather information • cost to build model and solve problem • mean value problems: • mv is optimistic (mv=4 but emv=3, rp=) • always true if convex and random. Deterministic Production Planning with Concave Costs and Capacity Constraints pp. Michael Florian and Morton Klein Estimating Sample Size in Computing Simulation Experiments pp. George S. Fishman Economic Order Quantities and Multiple Set-Up Costs pp. Steven A. Lippman. Linear Costs and Temporal Increase in Unit Supply Cost. One is where the costs are lin-ear, so there are unit costs and of production -2 and storage in period. Then it is optimal to hold inventory in a period if the unit production cost in that period is less than that in .