Hill Roger M.

Roger M. Hill

Information about the author Roger M. Hill will soon be added to the site.
Found 26 papers in total
Continuous-review, lost-sales inventory models with Poisson demand, a fixed lead time and no fixed order cost
2007
This paper considers continuous-review lost-sales inventory models with no fixed order...
A two-echelon base-stock inventory model with Poisson demand and the sequential processing of orders at the upper echelon
2007
We consider a two-echelon inventory system with a number of non-identical, independent...
Inventory control with indivisible units of stock transfer
2006
We consider an infinite horizon, single item inventory model with backorders and a...
Optimal and near-optimal policies for lost sales inventory models with at most one replenishment order outstanding
2006
In this paper we use policy-iteration to explore the behaviour of optimal control...
On the (S − 1, S) lost sales inventory model with priority demand classes
2002
In this paper an inventory model with several demand classes, prioritised according to...
Corrigendum on ‘The optimal production and shipment policy for the single-vendor single-buyer integrated production–inventory problem’
2002
Several corrections and clarifications are made to the original paper [see abstract...
Inventory policies for all-or-nothing demand processes
2001
When there is insufficient stock to meet a specific customer order, a common...
The (r,Q) control of a periodic-review inventory system with continuous demand and lost sales
2000
In this paper we consider a periodic review inventory model with lost sales during a...
On optimal two-stage lot sizing and inventory batching policies
2000
A recent paper considered the two-stage lot-sizing problem with finite production...
Bayesian decision‐making in inventory modelling
1999
The objective of this paper is to advocate the use of Bayesian methods in tackling...
Production planning towards the end of a product life cycle
1999
Previously published papers have derived optimal policies for replenishing stock when...
The optimal production and shipment policy for the single-vendor single-buyer integrated production–inventory problem
1999
This paper considers the problem of a vendor (manufacturer) supplying a product to a...
Stock replenishment policies for a stochastic exponentially-declining demand process
1999
This paper addresses the problem of determining stock replenishment policies to meet...
On the suboptimality of (S – 1, S) lost sales inventory policies
1999
This paper considers replenishment policies for the continuous review inventory model...
Order splitting in continuous review (Q, r) inventory models
1996
A number of recent articles in the literature have argued the case, when lead time is...
Applying Bayesian methodology with a uniform prior to the single period inventory model
1997
We consider the application of the Bayesian approach to parameter estimation to the...
The single-vendor single-buyer integrated production–inventory model with a generalised policy
1997
This note considers a more general type of policy for the single-vendor, single-buyer...
Dynamic lot sizing for a finite rate input process
1997
The basic single-product dynamic lot-sizing problem involves determining the optimal...
Batching policies for a product life cycle
1996
This paper considers a general, time-varying, continuous, deterministic demand...
Optimizing a production system with a fixed delivery schedule
1996
This note considers a model in which a manufacturing company purchases a raw material,...
Batching policies for linearly increasing demand with a finite input rate
1996
Batching policies for time-varying deterministic demand processes, with linear set-up...
Inventory models for increasing demand followed by level demand
1995
This paper considers a product subject to a period of increasing demand, according to...
Numerical analysis of a continuous-review lost-sales inventory model where two orders may be outstanding
1992
The steady-state solutions of continuous-review lost-sales inventory models where more...
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