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We follow the general literature on shelf-space management and assume a deterministic and stationary demand for the tactical problem.
This paper deals with a joint EOQ and EPQ model where the stationary demand can be satisfied by remanufactured and newly purchased products.
The proposed CA model also extends the CA methodology literature from traditional location problems with stationary demand, single-facility based service to EV sharing problems considering dynamic demands, OD trips, and nonlinear vehicle charging times.
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In the present paper, the contract is explored under the more general case of non-stationary demand.
This requirement is satisfied (within the class of deterministic models) by dynamic discrete time lot sizing models with deterministic non-stationary demand.
We present an algorithm for solving an infinite horizon discrete time lot sizing problem with deterministic non-stationary demand and discounting of future cost.
We have developed an algorithm for solving an infinite horizon lot sizing problem with deterministic non-stationary demand that does not follow any regular pattern.
The following features are examined: (i) taking advantage of non-stationary demand, the impact of the contract parameters on the manufacturer are verified (ii) the interaction between manufacturer's process investment decisions and the contract is generalized (iii) further studies into the effect of the production function on the contract are summarized.
We investigate a two-component assembly system facing stationary stochastic demand with constant component replenishment lead times.
This leads to two simplified link transmission models that can be solved exactly in continuous time under the assumption of piecewise stationary travel demand.
The Macroscopic Fundamental Diagram (MFD) framework has been widely utilized to describe traffic dynamics in urban networks as well as to design perimeter flow control strategies under stationary (constant) demand and deterministic settings.
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