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Gerardo Treviño-Garza
International Business School, Germany
16Publications
12H-index
475Citations
Publications 16
Newest
#1Leopoldo Eduardo Cárdenas-Barrón (Tec: Monterrey Institute of Technology and Higher Education)H-Index: 35
#2José Luis González-Velarde (Tec: Monterrey Institute of Technology and Higher Education)H-Index: 17
Last.Dagoberto Garza-Nuñez (Tec: Monterrey Institute of Technology and Higher Education)
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Abstract This paper develops a general heuristic algorithm to solve the selective and periodic inventory routing problem (SPIRP) in a waste vegetable oil collection environment. In the past, the SPIRP has been formulated and solved via a valid set of inequalities and an adaptive large-neighborhood search algorithm. The proposed algorithm is based on a reduce and optimize approach (ROA) and a new inequality. The ROA always solves the problem using a small feasible subset containing a near-optimal...
#1Leopoldo Eduardo Cárdenas-Barrón (Tec: Monterrey Institute of Technology and Higher Education)H-Index: 35
#2Ali Akbar Shaikh (Tec: Monterrey Institute of Technology and Higher Education)H-Index: 9
Last.Gerardo Treviño-GarzaH-Index: 12
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Abstract This paper deals with an economic order quantity (EOQ) inventory model under both nonlinear stock dependent demand and nonlinear holding cost. This inventory model is developed from retailer’s point of view, where the supplier offers a trade credit period to the retailer. In this paper, we relax the traditional assumption of zero ending inventory level to a non-zero ending inventory level. Consequently, the ending inventory level can be positive, zero or negative. When the ending invent...
Regularly, the small and medium companies does not have access to optimization software routing due to the fact that this is very expensive for them. These companies solve their routing problems some times by hand or using simple heuristics such as zoning or sweeping methods. This paper presents a framework for solving routing problems that runs on the web and it is easy to use. This application is named Routics. Solving a real routing problem Routics demonstrates that it has better efficiency t...
#1Umakanta Mishra (ICFAI University, Tripura)H-Index: 5
#2Leopoldo Eduardo Cárdenas-Barrón (Tec: Monterrey Institute of Technology and Higher Education)H-Index: 35
Last.Gerardo Treviño-GarzaH-Index: 12
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This paper develops an EOQ inventory model that considers the demand rate as a function of stock and selling price. Shortages are permitted and two cases are studied: (i) complete backordering and (ii) partial backordering. The inventory model is for a deteriorating seasonal product. The product’s deterioration rate is controlled by investing in the preservation technology. The main purpose of the inventory model is to determine the optimum selling price, ordering frequency and preservation tech...
#1Leopoldo Eduardo Cárdenas-Barrón (Tec: Monterrey Institute of Technology and Higher Education)H-Index: 35
#2José Luis González-Velarde (Tec: Monterrey Institute of Technology and Higher Education)H-Index: 17
Last.Gerardo Treviño-GarzaH-Index: 12
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This research work deals with the multi-product multi-period inventory lot sizing with supplier selection problem. Formerly, this kind of problem was formulated and solved using an exhaustive enumeration algorithm and a heuristic algorithm. In this paper, a new algorithm based on a reduce and optimize approach and a new valid inequality is proposed to solve the multi-product multi-period inventory lot sizing with supplier selection problem. Numerical experiments ratify the success of the propose...
#1Gerardo Treviño-Garza (IBS: International Business School, Germany)H-Index: 12
#2Krystel K. Castillo-Villar (UTSA: University of Texas at San Antonio)H-Index: 8
Last.Leopoldo Eduardo Cárdenas-Barrón (Tec: Monterrey Institute of Technology and Higher Education)H-Index: 35
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In this paper we present two solution procedures to obtain the solution for a family of economic production quantity inventory models for an integrated vendor–buyer system considering that production system generates defective products, in which the number of shipments must be a discrete value and that the lot size can take continuous case 1 or integer case 2 values. These solution procedures provide a more realistic approach for solving a family of inventory models. Previous works only derive t...
#2Gerardo Treviño-Garza (Tec: Monterrey Institute of Technology and Higher Education)H-Index: 12
Last.Pandian VasantH-Index: 18
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The determination of production-shipment policies for a vendor-buyer system is dealt within this paper. The main objective is to derive the optimal replenishment lot size and shipment policy for an EPQ inventory model with multiple deliveries and rework. This inventory model contains two decision variables: the replenishment lot size and the number of deliveries. Previous researches solve this inventory model considering both variables to be continuous. However, the number of deliveries must be ...
#1Leopoldo Eduardo Cárdenas-Barrón (Tec: Monterrey Institute of Technology and Higher Education)H-Index: 35
#2Kun-Jen Chung (Shih Chien University)H-Index: 14
Last.Gerardo Treviño-Garza (IBS: International Business School, Germany)H-Index: 12
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Abstract This writing presents a brief introduction to the papers included in the special issue “Celebrating a century of the economic order quantity model in honor of Ford Whitman Harris” published by the International Journal of Production Economics. Forty-one papers covering an extensive scope of inventory management have been incorporated in this volume from contributing authors from 20 countries located in America, Asia, Europe and Africa. This special issue also provides a basis for new di...
#1Leopoldo Eduardo Cárdenas-Barrón (Tec: Monterrey Institute of Technology and Higher Education)H-Index: 35
#2Gerardo Treviño-Garza (IBS: International Business School, Germany)H-Index: 12
Abstract Recently, Kadadevaramath et al. (2012) [1] presented a mathematical model for optimizing a three echelon supply chain network. Their model is an integer linear programming (ILP) model. In order to solve it, they developed five algorithms; four of them are based on a particle swarm optimization (PSO) method and the other is a genetic algorithm (GA). In this paper, we develop a more general mathematical model that contains the model developed by Kadadevaramath et al. (2012) [1] . Furtherm...
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