Operations Research and Enterprise Systems

Production frontier analysis aims at the identification of best production practices and the importance of external factors, endogenous or not, that affect the production function and the technical efficiency component. In particular, in the context of the Brazilian agriculture, it is desirable for policy makers to identify the effect on production of variables related to market imperfections. Market imperfections occur when farmers are subjected to different market conditions depending on their income. In general, large scale farmers access lower input prices and may sell their production at lower prices, thereby making competition harder for small farmers. Market imperfections are typically associated with infrastructure, environment control requirements and the presence of technical assistance. In this article, at county level, and using agricultural census data, we estimate the elasticities of these variables on production by maximum likelihood methods. Technological inputs dominate the production response, followed by labor and land. Environment control has a positive net effect on production, as well as technical assistance. The indicator of infrastructure affects positively technical efficiency. There is no evidence of technical assistance endogeneity.

[1]  Anand Subramanian,et al.  A hybrid algorithm for a class of vehicle routing problems , 2013, Comput. Oper. Res..

[2]  Alain Hertz,et al.  The capacitated team orienteering and profitable tour problems , 2007, J. Oper. Res. Soc..

[3]  Saligrama R. Agnihothri,et al.  Workforce cross-training decisions in field service systems with two job types , 2003, J. Oper. Res. Soc..

[4]  Mahvareh Ahghari,et al.  Benefits of cross-training in a skill-based routing contact center with priority queues and impatient customers , 2009 .

[5]  Anand Subramanian,et al.  An iterated local search heuristic for the split delivery vehicle routing problem , 2015, Comput. Oper. Res..

[6]  Anand Subramanian,et al.  An iterated local search algorithm for the Travelling Salesman Problem with Pickups and Deliveries , 2013, J. Oper. Res. Soc..

[7]  Pieter Colen,et al.  Product Service Systems: Exploring Service Operations Strategies , 2010 .

[8]  Shaligram Pokharel,et al.  Simulation based particle swarm optimization of cross-training policies in spare parts supply systems , 2017, 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI).

[9]  Ping Chen,et al.  Iterated variable neighborhood descent algorithm for the capacitated vehicle routing problem , 2010, Expert Syst. Appl..

[10]  El-Ghazali Talbi,et al.  Metaheuristics - From Design to Implementation , 2009 .

[11]  D. E. Simmons The effect of non-linear delay costs on workforce mix , 2013, J. Oper. Res. Soc..

[12]  Inmaculada Rodríguez-Martín,et al.  A hybrid heuristic approach for the multi-commodity one-to-one pickup-and-delivery traveling salesman problem , 2012 .

[13]  Lúcia Maria de A. Drummond,et al.  A parallel heuristic for the Vehicle Routing Problem with Simultaneous Pickup and Delivery , 2010, Comput. Oper. Res..

[14]  Gilbert Laporte,et al.  An adaptive neighborhood search metaheuristic for the integrated railway rapid transit network design and line planning problem , 2017, Comput. Oper. Res..

[15]  Angel A. Juan,et al.  A Biased-Randomised Large Neighbourhood Search for the two-dimensional Vehicle Routing Problem with Backhauls , 2016, Eur. J. Oper. Res..

[16]  Panos M. Pardalos,et al.  Iterated local search embedded adaptive neighborhood selection approach for the multi-depot vehicle routing problem with simultaneous deliveries and pickups , 2015, Expert Syst. Appl..

[17]  Ivan C. Martins,et al.  A hybrid iterated local search and variable neighborhood descent heuristic applied to the cell formation problem , 2015, Expert Syst. Appl..

[18]  Ward Whitt,et al.  A Staffing Algorithm for Call Centers with Skill-Based Routing , 2005, Manuf. Serv. Oper. Manag..

[19]  Shaligram Pokharel,et al.  Integrated Optimization for Stock Levels and Cross-Training Schemes with Simulation-Based Genetic Algorithm , 2016, 2016 International Conference on Computational Science and Computational Intelligence (CSCI).

[20]  Wallace J. Hopp,et al.  Pooling strategies for call center agent cross-training , 2009 .

[21]  Richard F. Hartl,et al.  The multi-vehicle profitable pickup and delivery problem , 2017, OR Spectr..

[22]  Manoj Kumar Tiwari,et al.  Application of an evolutionary fuzzy system for the estimation of workforce deployment and cross-training in an assembly environment , 2002 .

[23]  Jannes Slomp,et al.  Development and evaluation of cross-training policies for manufacturing teams , 2004 .

[24]  Peter Goos,et al.  An iterated local search algorithm for the vehicle routing problem with backhauls , 2014, Eur. J. Oper. Res..

[25]  Alexandre Xavier Martins,et al.  Variable neighborhood descent with iterated local search for routing and wavelength assignment , 2012, Comput. Oper. Res..

[26]  Saligrama R. Agnihothri,et al.  Cross-training Decisions in Field Services with Three Job Types and Server-Job Mismatch , 2004, Decis. Sci..

[27]  Andrei Sleptchenko,et al.  On Markovian Multi-Class, Multi-Server Queueing , 2003, Queueing Syst. Theory Appl..

[28]  Inmaculada Rodríguez Martín,et al.  A hybrid heuristic approach for the multi-commodity pickup-and-delivery traveling salesman problem , 2016, Eur. J. Oper. Res..

[29]  Paul R. Harper,et al.  Modelling the size and skill-mix of hospital nursing teams , 2010, J. Oper. Res. Soc..

[30]  Shaligram Pokharel,et al.  A Pooling Strategy for Flexible Repair Shop Designs , 2018, ICORES.

[31]  L. L. X. Li,et al.  A healthcare staff decision model considering the effects of staff cross‐training , 1999, Health care management science.

[32]  Jaime A. Ramírez,et al.  Multiobjective vehicle routing problem with fixed delivery and optional collections , 2013, Optim. Lett..

[33]  Wahiba Ramdane-Chérif,et al.  Behaviour of a Hybrid ILS Heuristic on the Capacitated Profitable Tour Problem , 2018, ICORES.

[34]  Jun Gong,et al.  Multi-objective optimal cross-training configuration models for an assembly cell using non-dominated sorting genetic algorithm-II , 2012, Int. J. Comput. Integr. Manuf..

[35]  Marius M. Solomon,et al.  Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints , 1987, Oper. Res..

[36]  David Pisinger,et al.  A general heuristic for vehicle routing problems , 2007, Comput. Oper. Res..

[37]  George L. Vairaktarakis,et al.  Worker Cross-Training in Paced Assembly Lines , 1999, Manuf. Serv. Oper. Manag..

[38]  Gilbert Laporte,et al.  Large neighborhood search for multi-trip vehicle routing , 2016, Eur. J. Oper. Res..

[39]  Bassem Jarboui,et al.  A general variable neighborhood search for the swap-body vehicle routing problem , 2017, Comput. Oper. Res..

[40]  Gilbert Laporte,et al.  The pickup and delivery traveling salesman problem with first-in-first-out loading , 2009, Comput. Oper. Res..

[41]  Michel Gendreau,et al.  A matheuristic based on large neighborhood search for the vehicle routing problem with cross-docking , 2017, Comput. Oper. Res..

[42]  Eric Molleman,et al.  Cross-training in a cellular manufacturing environment , 2005, Comput. Ind. Eng..

[43]  Sener Akpinar,et al.  Hybrid large neighbourhood search algorithm for capacitated vehicle routing problem , 2016, Expert Syst. Appl..

[44]  William C. Jordan,et al.  Chained cross-training of assembly line workers , 2004 .

[45]  Thiago F. Noronha,et al.  Iterated local search heuristics for the Vehicle Routing Problem with Cross-Docking , 2014, Expert Syst. Appl..

[46]  Serpil Sayin,et al.  Production , Manufacturing and Logistics Assigning cross-trained workers to departments : A two-stage optimization model to maximize utility and skill improvement , 2006 .

[47]  Wallace J. Hopp,et al.  Agile workforce evaluation: a framework for cross-training and coordination , 2004 .

[48]  Inmaculada Rodríguez Martín,et al.  A hybrid GRASP/VND heuristic for the one-commodity pickup-and-delivery traveling salesman problem , 2009, Comput. Oper. Res..

[49]  Yves Dallery,et al.  A flexible architecture for call centers with skill-based routing , 2012 .

[50]  Erfan Hassannayebi,et al.  Variable and adaptive neighbourhood search algorithms for rail rapid transit timetabling problem , 2017, Comput. Oper. Res..

[51]  Erik Demeulemeester,et al.  Workforce Planning Incorporating Skills: State of the Art , 2014, Eur. J. Oper. Res..

[52]  Dario Pacciarelli,et al.  A variable neighbourhood search for fast train scheduling and routing during disturbed railway traffic situations , 2017, Comput. Oper. Res..

[53]  Ammar Oulamara,et al.  Multi-start Iterated Local Search for the Mixed Fleet Vehicle Routing Problem with Heterogenous Electric Vehicles , 2015, EvoCOP.

[54]  Daniele Vigo,et al.  A Problem-Adjusted Genetic Algorithm for Flexibility Design , 2013 .

[55]  Angelo Sifaleras,et al.  Variable neighborhood descent heuristic for solving reverse logistics multi-item dynamic lot-sizing problems , 2017, Comput. Oper. Res..

[56]  Helena Ramalhinho Dias Lourenço,et al.  Iterated Local Search , 2001, Handbook of Metaheuristics.

[57]  T. Altiok On the Phase-Type Approximations of General Distributions , 1985 .

[58]  Seyed M. R. Iravani,et al.  Workforce Agility in Repair and Maintenance Environments , 2007, Manuf. Serv. Oper. Manag..

[59]  Shaligram Pokharel,et al.  Cross-training policies for repair shops with spare part inventories , 2017, International Journal of Production Economics.

[60]  Andrei Sleptchenko,et al.  Optimal skill assignment with modular architecture in spare parts supply systems , 2017, 2017 4th International Conference on Industrial Engineering and Applications (ICIEA).

[61]  Seyed M. R. Iravani,et al.  Structural Flexibility: A New Perspective on the Design of Manufacturing and Service Operations , 2005, Manag. Sci..

[62]  Shaligram Pokharel,et al.  A clustering-based repair shop design for repairable spare part supply systems , 2018, Comput. Ind. Eng..