“Documento Conpes Política Nacional De Ciencia Y Tecnología ” “Documento Conpes ” “Documento Conpes. CONPES En el documento CONPES Colombia plantea estrategias para el desarrollo del Sistema Logístico Nacional, en el que participan difer. Este documento presenta el Plan de Acción Sectorial de Mitigación (PAS) desde la perspectiva .. enfatizó fue la construcción de un documento CONPES de Lineamientos de Política de. Cambio . Política Nacional Logística CONPES
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Incident factors in facility location: An application in the Colombian biofuel sector. Factores incidentes en la localizaciones de instalaciones: Associate professor Universidad Nacional de Colombia.
Chemical Engineer and PhD. An application in the Co-lombian biofuel sector. Facility location concerns high impact strategic decision-making in supply chain design. One of the most important issues regarding such decision is a suitable selection of incident factors due to their effects on costs and customer service level. This paper was thus aimed at presenting a methodology for defining and hierarchising a group of factors which affect decision-making concerning facility location.
The methodology was based on expert methods, incorporating a goal programming application extended to support weighting. Colombian biofuels sector results are presented. Finalmente, se presentan los resultados obtenidos en conpss sector del biocombustibles colombiano. Facility location decisions FLD establish the most suitable location for a company in the supply chain Melo et al.
These decisions affect initial in-vestment and procurement costs, manufacturing and distribution. Furthermore, FLD affect service variables such as delivery time and flexibility Mazzarol and Choo, One of the most important issues regarding FLD is to identify and prioritise influential factors. Only quantitative factors were considered transportation costs, energy, labour were concerned in pioneering studies concerned with facility location theory, little attention being paid to qualitative factors Hormigo Ventura, ; however, due to the growth in global competition and the need for some companies to relocate, efforts during the last few decades have taken a broad set of factors into consideration whose relevance may vary depending on business documrnto, economic sector and country.
Many authors have considered that cost is a relevant factor in FLD; however, several empirical studies have considered other factors, such as social, technological, economic, environmental, political and conoes issues.
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For example, Dogan has considered that the most important factors were the availability of skilled labour, transportation infrastructure, taxes and environmental regulations.
Ulgado has analysed the differences between factors according to a company’s origin local or international. Mazzarol and Choo have discussed incident factors according to a company’s size, finding differences between small and large firms. Other significant contributions have been made by Domingo VenturaFarahani et al. Regarding the biofuel sector, Bello Pintado and Cotin Pilart found that the influential factors in FLD were coneps availability, quality and reliability of transport modes, telecommunications’ quality, production system capability, marketplace location, the number of nearby competitors and population density.
A study by Hilmola et al. Acosta Espejo et al. Other studies by Bennedetti Santos and Rathmann and Rentizelas and Tatisiopoulos provided important findings concerning the field of biofuel plant facility location factors.
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Few contributions about this topic have been made regarding Cohpes. The Conpes report revealed some critical factors to be considered in biofuel chain design, such as transport and communication infrastructure, red tape and institutional weakness. Gualteros Sanchez identified a critical group of factors by comparing several national research centre reports with those of their international peers; although this study found several quantitative factors, it only addressed a few qualitative factors and could not identify a specific set of factors matched with all the particularities of the national context for specific biofuel projects.
This paper was thus aimed at showing the results of a Colombian biofuel sector study to establish a set of relevant factors to be considered in FLD related to this kind of company; the article ranked factors to identify the most relevant doucmento.
A combination of expert methods and goal programming techniques were used, identifying the three most important factors for this sector as being transport infrastructure quality, the region’s agricultural capacity and utility quality and reliability. Two main issues must be addressed when studying factors affecting FLD for a particular industrial sector: The proposed methodology consisted of 5 stages: A preliminary selection of factors.
Based on earlier contributions, especially those related to the biofuel industry, a preliminary list of potential factors possibility affecting FLD had to be prepared. Some experts had the chance to examine the list to improve it. Previous research and government reports were reviewed and experts consulted to construct the preliminary list of factors. Expert methods are geared towards making precise questions excluding double interpretation aimed at obtaining answers which can be quantified and processed through qualitative methods Lissabet Rivero, The number of experts depends on the aim of analysis and group homogeneity; according to Ziglioa small group of 10 to 15 experts is usually enough to achieve reliable results.
Final selection of factors. At this stage, experts should independently review the preliminary list of factors, eliminating those xonpes not relevant. They also included new factors if necessary. The process was repeated in several successive rounds; the list of factors was rebuilt in each round until reaching final agreement Ziglio, Factors were documeno each dochmento ranked the list of factors according to their relevance.
Conoes were then weighted based on the experts’ previous ranking. Goal programming GP was posed in this methodology; GP is a branch of multi-objective optimisation, in turn being a branch of multi-criteria decision analysis or multiple-criteria decision-making. This is an extension of linear programming for handling multiple, normally-conflicting objective measures Jones and Tamiz, GP includes three types of variant: GP enabled weighting W i each 35447 i taking into account the level of importance given by the experts j.
The objective function was subject to the set of constraints represented in cnpes 2, 3, 4, 5 and 6. Equation 2 established that the sum of the expected weighting for each factor W i and its positive and negative deviation had to be equal to the rating given by expert j. Calculating the level of agreement between experts. The experts’ ranking of factors was evaluated by calculating Kendall’s coefficient of concordance K. The value of K established the level of agreement between expert judgments.
The equations docuumento to this stage were:. Preliminary selection of factors.
A preliminary list of factors was prepared, based on the state of the art; the list was then reviewed by four experts two academic and two consultants having extensive expertise in the biofuel industry. They took two important elements into consideration: A group of 10 experts was socumento for the final list of factors: Table 2 shows the list of experts, including their professional profile and type of work.
Their names have been omitted as part of the research reservation. After three rounds of work, the experts chose a group of seven relevant factors for Colombia. Four factors were eliminated by the experts from the original list in Table 1 location of seaports, government incentives, quality of raw materials and the region’s quality of life because some were not relevant and others were considered redundant. However, the experts included an additional factor: The first factor F 1 referred to the region’s security and criminality regarding rebel groups’ conpez.
Security and criminality is an important factor for agribusiness cknpes in Colombia, due to their rural location. This factor is infrequently mentioned in the pertinent literature and arises from the political and social context.
The second factor Copes 2 was related to the attitude of local government towards local and inward investment.
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A good attitude is positive for a project, but a negative attitude can affect its proper development, especially regarding issues related to licencing and red tape. The third factor F 3 was related to the quality and reliability of utilities essential for a project, such as water, electricity supply and communications.
The fourth factor F 4 addressed issues related to transport infrastructure access and quality roads, ports and transport modes. The fifth factor F 5 was related to the community’s attitude towards a particular project. The sixth factor F 6 referred to the social benefits that a project might generate for the region’s inhabitants, especially concerning job creation. The seventh factor F 7 took into account the region’s agricultural capacity for supplying the main raw material biomass.
The experts prioritised the factors; the three most important factors were the region’s agricultural capacity F 7transport infrastructure quality F 4 and quality and reliability of utilities 3followed by F 5F 6F 1 and F 2 see Table 4. A sensitivity analysis was used for the fluctuation factor, varying its value from 0 to 1. Due to the minimum value for the objective function Z occurring for the 0. Table 6 shows the experts’ maximum deviation values based on the rating for each factor.
Expert opinion was favoured in the lower maximum deviation value of the experts’ opinions. All other experts’ opinions were favourable for the 0. Therefore, the final weighting of factors was as follows: Equations 5 to 8 gave: Facility location is a high-impact decision affecting costs and documenyo service.
Choosing the right place to set up a company becomes a decision that should be carefully analysed. Several factors which must be considered in FLD have been identified in the state of the art; however, not all of them are relevant in all contexts. A group of relevant factors must be selected for ensuring each particular facility’s correct location. Seven factors were identified for biofuel plant location in Colombia: However, according to the experts’ judgment, the two most important factors were quality of transport infrastructure and the region’s agricultural capacity.
Based on the above results and taking into account that biofuel industries are considered a strategic sector for Colombian development, national and local governments must design appropriate policies for improving the country’s performance regarding the identified conpee.
In particular, there must be more investment in road and port infrastructure and the development of public policy to encourage crop-growing areas as well as improvements in utilities energy, water and telecommunications for attracting local and foreign investment. An overview of classification and applications. Consulted on June 25th Recuperado el 2 de diciembre de International Journal of Production Economics, Vol. Plant location and place marketing: A comparison of American an foreing-based firms.
Management International Review, Vol. The Delphi method and its application to social policy and public health.