Agent based mobile negotiation for personalized pricing of last minute theatre tickets

This is the post-print version of the final paper published in Expert Systems with Applications. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2012 Elsevier B.V.This paper proposes an agent based mobile negotiation framework for personalized pricing of last minutes theatre tickets whose values are dependent on the time remaining to the performance and the locations of potential customers. In particular, case based reasoning and fuzzy cognitive map techniques are adopted in the negotiation framework to identify the best initial offer zone and adopt multi criteria decision in the scoring function to evaluate offers. The proposed framework is tested via a computer simulation in which personalized pricing policy shows higher market performance than other policies therefore the validity of the proposed negotiation framework.The Ministry of Education, Science and Technology (Korea

Supplier Selection And Supplier Performance Evaluation At PT. Indolakto

Dairy supply chain is one of food supply chain that has its own uncertainty both in upstream and downstream process due to the durability of product. Dairy market has good demand trend, because the supply is still below the consumption level. Indonesia use imported dairy product rather than use the domestic ones, because the supply of domestic dairy still below the demand. So, there are opportunities for dairy company to compete in this industry and reach competitive advantage by solving the upstream problems. Selecting supplier is one of upstream supply chain area which affected the quality of dairy product and mitigate supply chain risk management from the beginning. This research aim to develop a framework for supplier selection and improve a supplier performance evaluation form. According to AHP method this research will be determine main criteria by interview, pair wise comparison on developing the AHP, determine sub criteria based on main criteria, and rank the supplier. After selecting the supplier, this research conduct interview for determining main and sub criteria, developing the AHP method with pair wise comparison and forming supplier performance evaluation. The result is forming a framework of supplier selection and forming supplier performance evaluation form based on company requirements. Also, the main criteria for supplier selection are quality, quantity, delivery, warranty, and pricing with sub main criteria which already deployed. For supplier performance evaluation, there are four main criteria which are quality, quantity, delivery and warranty. Maltodextrin A will be choose rather than Maltodextrin B. The sensivity analysis also shown that all of criteria were robust

Modelos de Inventarios con Productos Perecederos: Revisión de la Literatura

This paper presents a review of the main characteristics of the mathematical modelsdeveloped by the scientific community in order to determine an optimal inventory policyfor deteriorating items. Thus, a classified bibliography of 390 articles published from2001 to 2014 in high-impact journals is submitted while considering the type of demandand deterioration, the integration of inventory and pricing decisions, the inclusionof shortage and/or the time value of money, the consideration of multiple items and/ormulti-echelon systems, and the incorporation of uncertain parameters other than demand.Finally, research questions not yet addressed by the research community in the field ofinventory control for deteriorating items are pointed out.En el presente artículo se lleva a cabo una revisión de las principales características estudiadas por la comunidad científica en el desarrollo de modelos matemáticos que buscan definir una política de inventario óptima para productos que se deterioran. De este modo, se referencian 390 artículos publicados a partir del año 2001 en revistas de gran impacto, teniendo en cuenta: el tipo de demanda y deterioro representado en los modelos matemáticos, el estudio de una política de precio óptima, la inclusión de faltantes y/o valor del dinero en el tiempo, el estudio de múltiples productos y/o dos o más eslabones de la cadena de suministro, y la utilización de parámetros o variables difusas. Finalmente, se identifican oportunidades de investigación que a la fecha no han sido abordadas por la comunidad científica en este campo del conocimiento

Pengembangan Model Operasional Crossdocking untuk Distribusi Produk Sayur Segar Mempertimbangkan Pengaturan Temperatur dan Peletakan Produk di Dalam Kendaraan Berpendingin

Produk sayur segar merupakan salah satu jenis agri perishable product. Oleh karena itu, tingkat kesegaran produk sayur segar merupakan tolak ukur dalam menilai kualitas yang dimiliki oleh produk tersebut. Semakin tinggi tingkat kesegaran produk akan berpengaruh terhadap semakin tinggi nilai jual produk tersebut. Tingkat kesegaran produk sayur segar secara signifikan dipengaruhi oleh durasi waktu dan temperatur lingkungan selama proses pendistribusian produk. Dilatarbelakangi hal tersebut, penelitian ini mengembangkan model operasional cross-docking untuk distribusi produk sayur segar dengan mempertimbangkan pengaturan temperatur secara dinamis dan peletakan produk di dalam kendaraan berpendingin. Penelitian ini bertujuan untuk meminimasi biaya distribusi yang dipengaruhi oleh biaya penggunaan kendaraan berpendingin, biaya transportasi, biaya penurunan kualitas produk, biaya energi, dan biaya pinalti. Secara umum, model dalam penelitian ini terdiri dari 3 tahapan penyelesaian. Tahap I bertujuan untuk mencari rute terbaik dari pusat cross-docking ke titik customer, serta jadwal keberangkatan dari masing – masing kendaraan tersebut. Berdasarkan rute yang terbentuk, maka secara simultan akan diperoleh keputusan konsolidasi order yang dikirimkan oleh beberapa supplier di dalam pusat cross docking. Tahap II bertujuan untuk mencari jadwal keberangkatan kendaraan dari supplier menuju pusat cross-docking yang dapat meminimasi waktu tunggu tiap order akibat proses konsolidasi di pusat cross-docking. Dan tahap terakhir betujuan untuk mencari pengaturan dan peletakan order pada tiap kendaraan, baik dari supplier ke pusat cross-docking, maupun dari pusat cross-docking menuju customer. Pada penelitian ini dilakukan sinkronisasi jadwal keberangkatan kendaraan dari supplier menuju pusat cross-docking dan dari pusat cross docking menuju lokasi order. Selain itu, penelitian ini juga mengembangkan model VRP-TW untuk mencari rute pengiriman order terbaik dari pusat cross-docking ke titik customer. Algoritma penyelesaian tersebut diselesaikan dengan pendekatan optimasi menggunakan software LINGO 16.0. Dari penelitian ini, didapatkan bahwa keputusan terbaik yang dihasilkan sangat bergantung pada komposisi biaya dari fixed-vehicle, biaya transportasi, biaya konsumsi energi, dan harga produk. ====================================================================================== Fresh vegetables product is the one of agri-perishable product type. Hence, the freshness level of vegetables comes to be the measurement of its quality. The higher freshness level of a vegetable, the higher its price will be. The freshness level of vegetables are influenced by distribution time and set temperature during distribution process. So that, in a common practice fresh vegetables products were delivered by refrigerated vehicle to maintain product’s quality. In the other hand, refrigerated vehicle is more costly than common vehicle because there is an energy cost as the impact of cooling system in refrigerated vehicle. The higher temperature set in refrigerated vehicle, the higher its energy cost will be. It will be more complicated if product carried in a vehicle are varies and has different standard temperature. It becomes some trade-off between energy cost and quality-deterioration cost in temperature set decision. Therefore, this research aims to develop a novel model of cross-docking system to distribute fresh vegetables by considering dynamic temperature setting during distribution process and product positioning in refrigerated vehicle. The objective of the proposed model is to minimize total distribution cost that consists of fixed-vehicle cost, transportation cost, quality-deterioration cost, energy cost, and penalty cost. Generally, this proposed model consists of three steps of completion. The first step aims to determine vehicle routing and its departure time from cross-docking center to customer simultaneously. From the obtained route, decision about customer’s order consolidation that supplied by several suppliers at cross docking center will be obtained as well. Second step aims to determine vehicle departure time from supplier to cross-docking center which could minimize order waiting time due to consolidation activity in cross-docking center. And the last step aims to determine optimum set temperature and order position in each vehicle, both from supplier to cross-docking center and from cross-docking center to customer. This research accommodate synchronization of vehicle departure schedule which bring customer’s order both from suppliers to cross-docking center and from cross-docking center to customers. This research also determine optimum vehicle routing from cross-docking center to customer under VRP-TW model. This research used optimization method and considered those problem in mixed integer non-linear programming. Lingo 16.0 was used to solve the problem. The result shows that the best decision is very depend on the price configuration among fixed-vehicle cost, transportation cost, energy cost, and product price

Optimization model to support decision making of cheese production in Brazil

Orientador: Takaaki OhishiTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de ComputaçãoResumo: Esse trabalho apresenta dois modelos de otimização desenvolvidos para dar suporte ao planejamento da produção de uma indústria de produtos perecíveis, que tem como foco a produção de queijos especiais, de longo tempo de fabricação, com venda em nível nacional. Sua matéria-prima, leite, é negociada via contrato de fornecimento, deste modo o problema está restrito a qualidade da matéria-prima e planejamento da produção devido ao longo de tempo de maturação e vida de cada produto. Nesse caso a empresa necessita planejar o momento ideal de produção de cada tipo de queijo e a capacidade necessária da fábrica, de forma a atender a estratégia da empresa, levando em consideração a rentabilidade da produção quanto ao atendimento das demandas e redução de perdas. O método proposto divide o processo de planejamento em dois estágios, anual (tático) e mensal (operacional). Os modelos foram desenvolvidos em programação linear inteira mista, e implementados no software de otimização Gurobi, na linguagem C++. O modelo anual (tático) tem discretização mensal, capacidade de produção flexível por tipo de produto, proporcionando melhor flexibilidade quanto a alterações na demanda e produção, tendo como saída a meta de produção para o modelo mensal (operacional). O segundo modelo, tem discretização diária, meta de produção determinada pelo modelo tático devendo atender a demanda diária de produtos. O primeiro modelo respondeu a 100% da demanda, com 90% do volume de leite fornecido, e o segundo respondeu por 99,98% da demanda com redução em 5% do volume consumidoAbstract: This work presents two-optimization model to support the production planning of a cheese producer. The operations of the studied plant are focused on special cheese types with long production time and national sales coverage. The main raw material is milk, negotiated on a supply contract, so their core problems are restricted to the quality of it and production planning due to the long maturation time and shelf life of most products. So, in this case, the company needs to plan the ideal moment to produce each type of cheese and the needed capacity for the plant to operate given a long term strategy and taking into account the profitability of production and to meet the demand and loss reduction. The proposed methodology divides the planning process in two stages, annual (tactical) and month (operational). Both models are based on mixed integer programming and were implemented in the optimization software Gurobi using the programming language C++. The tactical model has monthly discretization, flexible capacity for each product and provides a greater production flexibility to deal with demand fluctuations, generating a goal for the next stage. The second stage, with daily discretization, its production needs to deal the goal from tactical model and the daily demand fluctuations. The first developed model was able to meet 100 % of the demand with 90 % less milk delivered, and the second was able to meet 99,98% of the demand with less 5% of milk deliveredDoutoradoAutomaçãoDoutora em Engenharia ElétricaCAPE

Modelling and Determining Inventory Decisions for Improved Sustainability in Perishable Food Supply Chains

Since the introduction of sustainable development, industries have witnessed significant sustainability challenges. Literature shows that the food industry is concerned about its need for efficient and effective management practices in dealing with perishability and the requirements for conditioned storage and transport of food products that effect the environment. Hence, the environmental part of sustainability demonstrates its significance in this industrial sector. Despite this, there has been little research into environmentally sustainable inventory management of deteriorating items. This thesis presents mathematical modelling based research for production inventory systems in perishable food supply chains. In this study, multi-objective mixed-integer linear programming models are developed to determine economically and environmentally optimal production and inventory decisions for a two-echelon supply chain. The supply chain consists of single sourcing suppliers for raw materials and a producer who operates under a make-to-stock or make-to-order strategy. The demand facing the producer is non-stationary stochastic in nature and has requirements in terms of service level and the remaining shelf life of the marketed products. Using data from the literature, numerical examples are given in order to test and analyse these models. The computational experiments show that operational adjustments in cases where emission and cost parameters were not strongly correlated with supply chain collaboration (where suppliers and a producer operate under centralised control), emissions are effectively reduced without a significant increase in cost. The findings show that assigning a high disposal cost, limit or high weight of importance to perished goods leads to appropriate reduction of expected waste in the supply chain with no major cost increase. The research has made contributions to the literature on sustainable production and inventory management; providing formal models that can be used as an aid to understanding and as a tool for planning and improving sustainable production and inventory control in supply chains involving deteriorating items, in particular with perishable food supply chains.the Ministry of Science and Technology, the Royal Thai Government