Haresh Gurnani - Academia.edu (original) (raw)
Papers by Haresh Gurnani
Production and Operations Management, 2011
Naval Research Logistics, 2006
International Journal of Inventory Research, 2010
... Haresh Gurnani is a Professor and Chairman, Department of Management, in the School of Busine... more ... Haresh Gurnani is a Professor and Chairman, Department of Management, in the School of Business Administration at the University of ... systems designed to achieve these goals are called efficient consumer response (KS Associates, 1993) and quick response (Iyer and Bergen ...
IIE Transactions, 2011
This article studies two contract mechanisms to share demand and supply risk in a decentralized s... more This article studies two contract mechanisms to share demand and supply risk in a decentralized supply chain. In an option contract, the buyer reserves capacity with a supplier who guarantees delivery up to this limit. This insulates the buyer from any disruption risk, ...
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1991
... Control of Batch Processing Systems* Haresh Gurnmi, Ravi Anupindi and Ram Akella Graduate Scl... more ... Control of Batch Processing Systems* Haresh Gurnmi, Ravi Anupindi and Ram Akella Graduate Scliool of Industrial Administration, Carnegie Mellon Universit.y, Pittsburgh, PA 15213 ... John Wiley, 1974. [3] ML Chaudhary and JGC Templeton. A First Course in Bulk Queues. ...
Production and Operations Management, 2009
ABSTRACT This paper examines the choice of supply chain structure for a proprietary component man... more ABSTRACT This paper examines the choice of supply chain structure for a proprietary component manufacturer (PCM). The PCM, who is the sole supply source of a critical component used to assemble an end product, can either provide its component to an original equipment manufacturer (OEM) in the end-product market (component supplier structure), develop the end product exclusively under its own brand (monopoly structure), or provide the component to the OEM as well as develop the end product under its own brand (dual distributor structure). Typically, the end products of the PCM and the OEM will be differentiated, and the OEM tends to have a capability advantage (compared with the PCM) in producing the end product. Our paper studies the impact of this degree of differentiation and capability advantage on the optimal choice of distribution structure. We then investigate how investing in component branding, enhancing the value of the end product, using alternative supply contracts, and product valuation uncertainty influence the PCM's optimal choice of distribution structure.
Production and Operations Management, 2011
Naval Research Logistics, 2008
Naval Research Logistics, 2008
Management Science, 2006
We consider the case of a first-time interaction between a buyer and a supplier who is unreliable... more We consider the case of a first-time interaction between a buyer and a supplier who is unreliable in delivery. The supplier declares her estimate of the ability to meet the order obligations, but the buyer may have a different estimate, which may be higher or lower than the supplier's estimate. We derive the Nash bargaining solution and discuss the role
The Journal of the Operational Research Society, 2000
ABSTRACT In this paper, we consider a deterministic nested substitution problem where there are m... more ABSTRACT In this paper, we consider a deterministic nested substitution problem where there are multiple products which can be substituted one for the other, if necessary, at a certain cost. We consider the case when there are n products, and product j can substitute products j + 1,...,n at certain costs. The trade-off is the cost of storing products (for example, customised products) at a higher inventory holding stage versus the cost of transferring downwards from a lower inventory holding cost (generic product) stage. The standard approach to solving the problem yields an intractable formulation, but by reformulating the problem to determine the optimal run-out times, we are able to determine the optimal order and substitution quantities. Numerical examples showing the effect of various system parameters on the optimal order and substitution policy are also presented.
The Journal of the Operational Research Society, 1996
The Journal of the Operational Research Society, 1995
Page 1. Journal of the Operational Research Society (I1995) 46, 887-891 ? 1995 Operational Resear... more Page 1. Journal of the Operational Research Society (I1995) 46, 887-891 ? 1995 Operational Research Society Ltd. All rights reserved. 0160-5682/95 $12.00 An EOO Model with Substitutions Between Products* ZVI DREZNER ...
Journal of International Business Studies, 2008
ABSTRACT This article applies the dialectical logic of loose coupling to interpartner exchanges i... more ABSTRACT This article applies the dialectical logic of loose coupling to interpartner exchanges in order to analyze the dynamics of global strategic alliances. We develop a typology of control and cooperation that defines alliance states or situations according to their level of cooperation under private and collective control. In the private control–cooperation interplay, contending, honeymoon, and coopetition situations arise, depending on the levels of private control and cooperation. In the collective control–cooperation interplay, the loosely connected, the equity hostage, the tightly integrated, and the trusting states emerge according to the levels of collective control and cooperation. We illustrate how an individual partner strategically responds to the control–cooperation interplay under each situation or state, and develop hypotheses explicating how these strategic responses are influenced by relational characteristics such as goal congruity, resource complementarity, and bargaining asymmetry between foreign and local partners. Journal of International Business Studies (2008) 39, 428–453. doi:10.1057/palgrave.jibs.8400365
IIE Transactions, 2000
ABSTRACT In this paper, we consider an assembly system where a firm faces random demand for a fin... more ABSTRACT In this paper, we consider an assembly system where a firm faces random demand for a finished product which is assembled using two critical components. The components are procured from the suppliers who, due to production yield losses, deliver a random fraction of the order quantity. We formulate the exact cost function where the decision variables are the target level of finished products to assemble, and the order quantity of the components from the suppliers. Since the exact cost function is analytically complex to solve, we introduce a modified cost function and derive bounds on the difference in the objective function values. Using the modified cost function, we determine the combined component ordering and production (assembly) decisions for the firm. The benefit of coordinating ordering and assembly decisions is numerically demonstrated by comparing the results with two heuristic policies commonly used in practice. In an extension to the model, we consider the case when the firm has the added option of ordering both the components in a set from a joint supplier. First, we consider the case when the joint supplier is reliable in delivery and obtain dominance conditions on the suppliers to be chosen. The maximum price a firm would be willing to pay to ensure reliable supply of components is determined. Later, we consider the uncertainty in the deliveries from the joint supplier and determine conditions under which there is no diversification, that is, either the individual suppliers are used, or the joint supplier is used, but never both.
IEEE Transactions on Semiconductor Manufacturing, 1992
Abstract-This paper describes loading policies for a batch processing machine, ie, a machine that... more Abstract-This paper describes loading policies for a batch processing machine, ie, a machine that can process more than one job at a time, when the arrival times of jobs to the machine are uncertain. The study is motivated by structure of process flows and the predominance of ...
Production and Operations Management, 2011
Naval Research Logistics, 2006
International Journal of Inventory Research, 2010
... Haresh Gurnani is a Professor and Chairman, Department of Management, in the School of Busine... more ... Haresh Gurnani is a Professor and Chairman, Department of Management, in the School of Business Administration at the University of ... systems designed to achieve these goals are called efficient consumer response (KS Associates, 1993) and quick response (Iyer and Bergen ...
IIE Transactions, 2011
This article studies two contract mechanisms to share demand and supply risk in a decentralized s... more This article studies two contract mechanisms to share demand and supply risk in a decentralized supply chain. In an option contract, the buyer reserves capacity with a supplier who guarantees delivery up to this limit. This insulates the buyer from any disruption risk, ...
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1991
... Control of Batch Processing Systems* Haresh Gurnmi, Ravi Anupindi and Ram Akella Graduate Scl... more ... Control of Batch Processing Systems* Haresh Gurnmi, Ravi Anupindi and Ram Akella Graduate Scliool of Industrial Administration, Carnegie Mellon Universit.y, Pittsburgh, PA 15213 ... John Wiley, 1974. [3] ML Chaudhary and JGC Templeton. A First Course in Bulk Queues. ...
Production and Operations Management, 2009
ABSTRACT This paper examines the choice of supply chain structure for a proprietary component man... more ABSTRACT This paper examines the choice of supply chain structure for a proprietary component manufacturer (PCM). The PCM, who is the sole supply source of a critical component used to assemble an end product, can either provide its component to an original equipment manufacturer (OEM) in the end-product market (component supplier structure), develop the end product exclusively under its own brand (monopoly structure), or provide the component to the OEM as well as develop the end product under its own brand (dual distributor structure). Typically, the end products of the PCM and the OEM will be differentiated, and the OEM tends to have a capability advantage (compared with the PCM) in producing the end product. Our paper studies the impact of this degree of differentiation and capability advantage on the optimal choice of distribution structure. We then investigate how investing in component branding, enhancing the value of the end product, using alternative supply contracts, and product valuation uncertainty influence the PCM's optimal choice of distribution structure.
Production and Operations Management, 2011
Naval Research Logistics, 2008
Naval Research Logistics, 2008
Management Science, 2006
We consider the case of a first-time interaction between a buyer and a supplier who is unreliable... more We consider the case of a first-time interaction between a buyer and a supplier who is unreliable in delivery. The supplier declares her estimate of the ability to meet the order obligations, but the buyer may have a different estimate, which may be higher or lower than the supplier's estimate. We derive the Nash bargaining solution and discuss the role
The Journal of the Operational Research Society, 2000
ABSTRACT In this paper, we consider a deterministic nested substitution problem where there are m... more ABSTRACT In this paper, we consider a deterministic nested substitution problem where there are multiple products which can be substituted one for the other, if necessary, at a certain cost. We consider the case when there are n products, and product j can substitute products j + 1,...,n at certain costs. The trade-off is the cost of storing products (for example, customised products) at a higher inventory holding stage versus the cost of transferring downwards from a lower inventory holding cost (generic product) stage. The standard approach to solving the problem yields an intractable formulation, but by reformulating the problem to determine the optimal run-out times, we are able to determine the optimal order and substitution quantities. Numerical examples showing the effect of various system parameters on the optimal order and substitution policy are also presented.
The Journal of the Operational Research Society, 1996
The Journal of the Operational Research Society, 1995
Page 1. Journal of the Operational Research Society (I1995) 46, 887-891 ? 1995 Operational Resear... more Page 1. Journal of the Operational Research Society (I1995) 46, 887-891 ? 1995 Operational Research Society Ltd. All rights reserved. 0160-5682/95 $12.00 An EOO Model with Substitutions Between Products* ZVI DREZNER ...
Journal of International Business Studies, 2008
ABSTRACT This article applies the dialectical logic of loose coupling to interpartner exchanges i... more ABSTRACT This article applies the dialectical logic of loose coupling to interpartner exchanges in order to analyze the dynamics of global strategic alliances. We develop a typology of control and cooperation that defines alliance states or situations according to their level of cooperation under private and collective control. In the private control–cooperation interplay, contending, honeymoon, and coopetition situations arise, depending on the levels of private control and cooperation. In the collective control–cooperation interplay, the loosely connected, the equity hostage, the tightly integrated, and the trusting states emerge according to the levels of collective control and cooperation. We illustrate how an individual partner strategically responds to the control–cooperation interplay under each situation or state, and develop hypotheses explicating how these strategic responses are influenced by relational characteristics such as goal congruity, resource complementarity, and bargaining asymmetry between foreign and local partners. Journal of International Business Studies (2008) 39, 428–453. doi:10.1057/palgrave.jibs.8400365
IIE Transactions, 2000
ABSTRACT In this paper, we consider an assembly system where a firm faces random demand for a fin... more ABSTRACT In this paper, we consider an assembly system where a firm faces random demand for a finished product which is assembled using two critical components. The components are procured from the suppliers who, due to production yield losses, deliver a random fraction of the order quantity. We formulate the exact cost function where the decision variables are the target level of finished products to assemble, and the order quantity of the components from the suppliers. Since the exact cost function is analytically complex to solve, we introduce a modified cost function and derive bounds on the difference in the objective function values. Using the modified cost function, we determine the combined component ordering and production (assembly) decisions for the firm. The benefit of coordinating ordering and assembly decisions is numerically demonstrated by comparing the results with two heuristic policies commonly used in practice. In an extension to the model, we consider the case when the firm has the added option of ordering both the components in a set from a joint supplier. First, we consider the case when the joint supplier is reliable in delivery and obtain dominance conditions on the suppliers to be chosen. The maximum price a firm would be willing to pay to ensure reliable supply of components is determined. Later, we consider the uncertainty in the deliveries from the joint supplier and determine conditions under which there is no diversification, that is, either the individual suppliers are used, or the joint supplier is used, but never both.
IEEE Transactions on Semiconductor Manufacturing, 1992
Abstract-This paper describes loading policies for a batch processing machine, ie, a machine that... more Abstract-This paper describes loading policies for a batch processing machine, ie, a machine that can process more than one job at a time, when the arrival times of jobs to the machine are uncertain. The study is motivated by structure of process flows and the predominance of ...