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Decision making support has become essential to conduct an effective management and operational system. It is considered an important part of operational research and management science. There are various decision issues concerning the good governance and management of a supply chain. In this paper, we focus on the conception problem of a supply chain, especially the geographical location implementation...
This paper aims at balancing the load of small cell networks via user equipment (UE) transfer. To guarantee the fairness of both small cells and UEs, a load definition that jointly considers the small cells' service ability and UEs' data rate requirements is adopted. The system load balancing issue is formulated as an integer lexicographical minimization problem whose calculation complexity is NP-hard...
This paper presents a methodology for joint optimal allocation of energy storage (ES) and renewable distributed generation (RDG) for energy loss minimization. The paper also justifies the necessity of joint optimal allocation of ES and RDG. All possible sixteen combinations of design variables of RDG and ES are analyzed for the joint optimal allocation. The paper proposes a probabilistic generation...
In Industry 4.0 the optimal allocation of a pool of available workers is a very important issue. Solving this problem can improve the performance of the company and the life of workers with positive returns on productivity. Moreover, from a computational perspective, this problem is extremely interesting because it could have a combinatorial explosion and become very hard to solve. In this paper,...
In this paper, we consider the problem of minimizing the total transmit power with power control and resource allocation in OFDM networks where mutual interference exists among cells. The signal-to-interference-and-noise-ratio (SINR) relation is interpreted by the load and power coupling model, where every resource is available for each user with a probability. These probability variables can be also...
To strike a balance between optimizing for energy versus performance in data centers is extremely tricky because the workloads are significantly different with varying constraints on performance. This issue is exacerbated with the introduction of MapReduce over and above conventional web applications. In particular, with batch versus interactive MapReduce, e.g., Spark system, data availability and...
In this paper, we consider a Prize Colleting Vehicle Routing Problem (PCVRP). Prize collecting Vehicle Routing Problem is a Variant of Vehicle routing Problem. One of the major concerns of the Prize collecting Vehicle routing problem is that all customers need not to be visited compulsory, but prize must be collected from each customer visited and a penalty has to be paid for every unvisited customer...
In recent years, the increase in time-based competition has put pressure on managers to reduce the costs of warehouse design and management activities. It is important to determine the most profitable storage location assignment policy to be implement in the warehouse since it influence almost all the warehouse performance. Hence, the objective of this research is minimizing total handling cost using...
The supply chain of agricultural products has received a great deal of attention lately due to issues related to public health. Something that has become apparent is that in the near future the design and operation of agricultural supply chains will be subject to more stringent regulations and closer monitoring, in particular those for products destined for human consumption (agri-foods). The supply...
Hub networks are used to connect supply and demand nodes without establishing direct connections between any origin-destination nodes. The issue is to find optimum hub locations and allocate non-hub nods to them at minimum cost and/or travel time. Multiple allocation hub location problems deal with network in which non-hub nodes can be allocated to more than one hub. In this paper we use a multiple...
A key component of an efficient multipath routing is theoptimal resource allocation strategy that deals with how thetraffic should be distributed amongst the multiple paths. Inthis paper, an intelligent traffic distribution policy thatminimise the maximum delay in a multipath routing scenariois proposed. It would be proved that such delay minimisationcan be achieved through delay synchronization....
This paper investigates effects of pilot assisted channel estimation on dynamic resource allocation in a multiuser orthogonal frequency division multiplexing (OFDM) system. The channel estimation is done in each OFDM symbol through least-squared error (LSE) or minimum mean-squared error (MMSE) algorithm. The performance of each of these algorithms is evaluated through computer simulations. The maximal...
In this paper we derive optimal power allocation scheme that minimizes bit error rate (BER) while satisfying the average power constraint and peak to average power ratio (PAPR) constraint (which translates to minimizing the PAPR). The power allocation is done in space and time for multiple-input single-output (MISO) systems over Rayleigh flat fading channels assuming perfect channel state information...
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