{"title":"A bi-objective inventory routing problem by considering customer satisfaction level in context of perishable product","authors":"M. Rahimi, A. Baboli, Y. Rekik","doi":"10.1109/CIPLS.2014.7007166","DOIUrl":"https://doi.org/10.1109/CIPLS.2014.7007166","url":null,"abstract":"In this paper, we study a joint inventory and routing problem (IRP) for the food supply chain and we investigate the impact of customer satisfaction level under the optimization of the total expected cost. We propose a new bi-objective mathematical model by taking into account multi capacitated vehicles for perishable products from one supplier to many customers by considering total traveling time. The first objective in our optimization minimizes the different inventory and distribution costs (holding cost, shortage cost, ordering cost, fixed, variable transportation cost and recycling cost) while the second objective considers the customer satisfaction level, which is measured based on delays of vehicles. We consider perishable items and we also manage in this framework their shelf life (expiration date). The proposed framework is modelled as a mixed-integer linear program and is solved by using the software GAMS.","PeriodicalId":325296,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127626455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yan Jiang, T. Weise, Jörg Lässig, R. Chiong, R. Athauda
{"title":"Comparing a hybrid branch and bound algorithm with evolutionary computation methods, local search and their hybrids on the TSP","authors":"Yan Jiang, T. Weise, Jörg Lässig, R. Chiong, R. Athauda","doi":"10.1109/CIPLS.2014.7007174","DOIUrl":"https://doi.org/10.1109/CIPLS.2014.7007174","url":null,"abstract":"Benchmarking is one of the most important ways to investigate the performance of metaheuristic optimization algorithms. Yet, most experimental algorithm evaluations in the literature limit themselves to simple statistics for comparing end results. Furthermore, comparisons between algorithms from different “families” are rare. In this study, we use the TSP Suite - an open source software framework - to investigate the performance of the Branch and Bound (BB) algorithm for the Traveling Salesman Problem (TSP). We compare this BB algorithm to an Evolutionary Algorithm (EA), an Ant Colony Optimization (ACO) approach, as well as three different Local Search (LS) algorithms. Our comparisons are based on a variety of different performance measures and statistics computed over the entire optimization process. The experimental results show that the BB algorithm performs well on very small TSP instances, but is not a good choice for any medium to large-scale problem instances. Subsequently, we investigate whether hybridizing BB with LS would give rise to similar positive results like the hybrid versions of EA and ACO have. This turns out to be true - the “Memetic” BB algorithms are able to improve the performance of pure BB algorithms significantly. It is worth pointing out that, while the results presented in this paper are consistent with previous findings in the literature, our results have been obtained through a much more comprehensive and solid experimental procedure.","PeriodicalId":325296,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128652142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An iterated greedy algorithm for the hybrid flowshop problem with makespan criterion","authors":"Damla Kizilay, M. Tasgetiren, Q. Pan, Ling Wang","doi":"10.1109/CIPLS.2014.7007156","DOIUrl":"https://doi.org/10.1109/CIPLS.2014.7007156","url":null,"abstract":"The main contribution of this paper is to present some novel constructive heuristics for the the hybrid flowshop scheduling (HFS) problem with the objective of minimizing the makespan for the first time in the literature. We developed the constructive heuristics based the profile fitting heuristic by exploiting the waiting time feature of the HFS problem. In addition, we also developed an IG algorithm with a simple insertion based local search for the first time in the literature, too. The benchmark suite developed for the HFS problem are used to test the performance of the constructive heuristics and the IG algorithm. The computational results show that constructive heuristics developed were able to further improve the traditional NEH heuristics for the HFS problem with makespan criterion. Furthermore, with a very short CPU times of 50nm miliseconds, the performance of the IG algorithm was very competitive to the PSO and AIS algorithms that were run for 1600 seconds.","PeriodicalId":325296,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125466856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zahra Booyavi, E. Teymourian, G. Komaki, S. Sheikh
{"title":"An improved optimization method based on the intelligent water drops algorithm for the vehicle routing problem","authors":"Zahra Booyavi, E. Teymourian, G. Komaki, S. Sheikh","doi":"10.1109/CIPLS.2014.7007162","DOIUrl":"https://doi.org/10.1109/CIPLS.2014.7007162","url":null,"abstract":"We introduce an improved intelligent water drops (IIWD) algorithm as a new swarm-based nature inspired algorithm to solve capacitated vehicle routing problem. IIWD algorithm introduces new adjustments and features that help to optimize the VRP problem with higher efficiency. We reinforce this algorithm to have satisfactory consequences in controlling the balance between diversification and intensification of the search process. We solve 14 well-known benchmark instances in the literature to compare the solutions with the best reported solutions in the literature. Experimental results demonstrate that the suggested technique can well and effectively cope with such problems.","PeriodicalId":325296,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS)","volume":"398 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123963106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Determining the cost impact of SCM system errors","authors":"John M. Medellin","doi":"10.1109/CIPLS.2014.7007173","DOIUrl":"https://doi.org/10.1109/CIPLS.2014.7007173","url":null,"abstract":"Software Configuration Management (SCM) auditing is the fourth of four sub processes recommended by the IEEE and the ACM in this area. This research is the continuation of ongoing experiments in the use of heuristics for predicting fault rates in systems that support SCM. This paper allocates financial indicators to the business model for a hypothetical Telecommunications company and predicts the potential financial error impact due to Configuration Management errors in the SCM system. This paper focuses on sampling first Use Cases in order to determine the error rates by Operating Profile and then using that knowledge in drawing samples of Test Cases. The 5,388 Test Cases were generated from sources available in open forums and they were injected with 4% of faults; 2.1% carried from Use Cases and 2% added. A total sampling of 492 items was conducted and was able to approximate the financial error rate in 6,006 items at an acceptable level with a 92% reduction in effort. The two stage sampling technique performed better than straight random sampling. When applied to the contribution from each Test Case, random sampling produced above a 6.87% error in the value chain estimate while two stage sampling produced under a 2.72% error in the same estimate.","PeriodicalId":325296,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132903137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Helga J. Hernandez-Hernandez, J. Montoya-Torres, Fabricio Niebles Atencio
{"title":"Design of multi-product / multi-period closed-loop reverse logistics network using a genetic algorithm","authors":"Helga J. Hernandez-Hernandez, J. Montoya-Torres, Fabricio Niebles Atencio","doi":"10.1109/CIPLS.2014.7007159","DOIUrl":"https://doi.org/10.1109/CIPLS.2014.7007159","url":null,"abstract":"Environmental impact has become a key issue in business management. Nowadays, the optimal design of supply chains has to deal with green management practices. Among the different components of the green supply chain management, reverse logistics play a crucial role. This paper studies the problem of designing a closed-loop reverse supply chain network. Since the problem in NP-hard, a solution approach based on genetic algorithm is proposed. A case study is employed to run the numerical experiments. Computational results show the positive impact of minimizing total operational costs.","PeriodicalId":325296,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114048529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A two-layer optimization framework for UAV path planning with interval uncertainties","authors":"Bai Li, R. Chiong, Mu Lin","doi":"10.1109/CIPLS.2014.7007170","DOIUrl":"https://doi.org/10.1109/CIPLS.2014.7007170","url":null,"abstract":"We propose a two-layer optimization framework for the unmanned aerial vehicle path planning problem to handle interval uncertainties that exist in the combat field. When evaluating a candidate flight path, we first calculate the interval response (i.e., the upper and lower bounds) of the candidate flight path within the inner layer of the framework using a collocation interval analysis method (CIAM). Then, in the outer layer, we introduce a novel criterion for interval response comparison. The artificial bee colony algorithm is used to search for the optimal flight path according to this new criterion. Our experimental results show that the CIAM adopted is a feasible option, which largely eases the computational burden. Moreover, our derived flight paths can effectively handle bounded uncertainties without knowing the corresponding uncertainty distributions.","PeriodicalId":325296,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114056858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A distance based variable neighborhood search for parallel machine scheduling","authors":"André Costa Batista, L. Batista","doi":"10.1109/CIPLS.2014.7007168","DOIUrl":"https://doi.org/10.1109/CIPLS.2014.7007168","url":null,"abstract":"Throughout the years, scheduling problems have been broadly addressed in the literature due to their wide application in practice. Some examples include the production line optimization, the scheduling aircraft landing, the daily nurse care, among others. In this work one investigate the efficiency of applying geometric-based operators in a version of this problem that deals with the schedule of n independent tasks for m parallel machines, which can be either identical or unrelated. In order to validate this study, a Variable Neighborhood Search approach is proposed and applied to a specific scheduling problem regarding the minimization of the weighted sum of the earliness/tardiness task, a well-known NP-Hard problem. The test instances are solved for either a due date known a priori or not. The algorithm is compared with two other methods from the literature and the results show promising.","PeriodicalId":325296,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123683640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Realtime dynamic clustering for interference and traffic adaptation in wireless TDD system","authors":"Mingliang Tao, Qimei Cui, Xiaofeng Tao, Haihong Xiao","doi":"10.1109/CIPLS.2014.7007171","DOIUrl":"https://doi.org/10.1109/CIPLS.2014.7007171","url":null,"abstract":"The dynamic time-division duplex (TDD) system is a recently proposed technology that can accommodate downlink (DL)/uplink (UL) traffic asymmetry and sufficiently utilize the spectrum resource. Its feature of sufficiency and flexibility will also induce a more sophisticated interference environment, which is known as interference mitigation and traffic adaptation (IMTA) problem. Clustering is a new idea which has been widely accepted to solve IMTA problem. However, most previous works just took large-scale path loss or coupling loss as criteria of the clustering schemes, thus the throughput performance would be limited by the varying traffic requirements among different small cells within one cluster. In this paper, a realtime dynamic cluster-based IMTA scheme is proposed and evaluated with dense deployment of small cells (SCs). Firstly, a new clustering criterion named Differentiating Metric (DM) is defined. Based on the defined DM value, a DM matrix is formed and further presented by a clustering graph. In the clustering graph, the dynamic clustering strategy is mapped to a MAX N-CUT problem, which is addressed in polynomial time by a proposed heuristic clustering algorithm. Furthermore, the system level simulation results demonstrate a promising improvement on uplink traffic throughput (UTP) in our proposed scheme compared with traditional clustering schemes.","PeriodicalId":325296,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125542239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A preliminary simulated annealing for resilience supply chains","authors":"Hernan Chavez, K. Castillo-Villar","doi":"10.1109/CIPLS.2014.7007167","DOIUrl":"https://doi.org/10.1109/CIPLS.2014.7007167","url":null,"abstract":"Most of the products imported from Mexico to U.S. can be classified as perishable. The United States Trade Representative has reported that the overall importations from Mexico to U.S. were equivalent to $16.4 billion during 2012. Due to the geographical location of both countries most of the transportation of products across the U.S. - Mexico border is road modal transportation. The inspection of trucks at the border entry points can take a long and unpredictable time. For perishable products, these inspections have a very important effect on their shelf life once they arrive to their destination. This paper presents a novel model that combines a metaheuristic with a simulation. The proposed method was coded in Matlab®. This model helps in the selection of the amount of product that will be sent through each of the available routes. Random length of disruptive inspection time and availability of servers at the entry points are very important for the Supply Chain (SC) that includes the transportation system of perishables from Mexico to U.S. The proposed Simulation-based Optimization Model (SimOpt) minimizes transportation time and transportation cost of agricultural products traded across the U.S. - Mexico border to build a resilient supply chain. This SimOpt model considers realistic continuous probability distributions for the inspection time. This variability also accounts for the availability of inspection servers and lanes in the points of entry. The solution procedure finds solutions for a weighted (time and freight cost) objective function. The results of a case study are presented.","PeriodicalId":325296,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124231197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}