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Economic production lot size models with a process inspection delay have been studied over several decades in the literature. When an imperfect process is assumed to have a given probability to run from an in-control state to an out-of-control state each time an item is produced, an inspection schedule is arranged to monitor the process reliability; however, a time delay to obtain the inspection results...
In this paper, we have pointed out that the proofs of the Theorems 3.1 and 3.3 in the recent paper (Sonali et al. in Ann Oper Res 244:603–617, 2016) are erroneous. A modified dual to the second order minimax fractional programming problem has been formulated and the rectified proofs of these results under generalized B-(p,r)-invexity have been established.
Partner selection is a crucial problem in supply chain management in which it is essential today to integrate sustainability criteria due to regulation, stakeholder pressers and economic interests. Thus, a sustainability-focused evaluation model for partner selection is required in order to improve the overall performance of the supply chain. This paper develops a new hybrid approach to evaluate and...
In a transportation problem, the parameters like unit cost of transportation of goods or services from source to destination, supplies from the sources and demands at destinations depend on many factors which may not be deterministic in nature. To deal with the uncertainty of the parameters, random variables and fuzzy variables were used previously. Sometimes, in absence of sufficient sample observations,...
This paper analyses an inventory model with positive service time and retrial of customers. The customers arrive according to a Markovian Arrival Process with representation ($$D_{0} ,D_{1}$$ D0,D1 ). The service times are assumed to be of Phase type distribution with representation $$\left( {\eta ,U} \right)$$ η,U . When the inventory level depletes to the reorder point s, the service is given at...
This paper presents a heuristic to find the travelling salesman tour (TST) in a connected network. The approach first identifies a node and two associated arcs that are desirable for inclusion in the required TST. If we let this node be denoted by $$p$$ p and two selected arcs emanating from this node be denoted by $$\left( {p,q} \right)\,{\text{and}}\,\left( {p,k} \right),$$ p,qandp,k, then we...
A new non-Shannon fuzzy Mean–Variance–Skewness-entropy model is proposed with stock returns are considered as triangular fuzzy numbers. The fuzzy stock portfolio selection models are presented with credibility theory that maximizes mean and skewness and minimizes portfolio variance and cross-entropy in terms of Burg. With addition of Burg’s entropy in the multi objective non linear models, focus is...
In this research work for first time a model has been proposed to find an appropriate business strategy for a seasonal sale/sale item. Here, an EOQ model for an item has been developed with selling price and time dependent demand under retailer promotional effort, where a wholesaler offers a conditional credit period to his/her retailer to boost the demand of the item to clear the end season stock...
The study explored the relationship of the climatic predictor variables such as seasonal temperature and rainfall pattern and non-climatic variable such as area under cultivation with the predictand per capita food grain production. We applied a linear method “Generalized Linear Model” and two non-linear methods “Multivariate Adaptive Regression Spline” and “Generalized Additive Model” to Indian data...
Adoption of environmental management practices is essential in every industry to satisfy the customers, and environmental regulation policies along with improvement of environmental performance. Environmental practices are not only based on the industry alone, supplier is also one of the partners to improve industries environmental image through supplying environmental friendly products. Selection...
This paper addresses nonlinear optimization problem whose parameters are uncertain and lie in closed intervals. A partial ordering is introduced to define closeness between two intervals as well as two interval vectors. Existence of the solution of the model is studied using this partial ordering in case of unconstrained as well as constrained optimization problem. A variant of goal programming technique...
Construction industries play a major role in Indian economy and are also a major cause for degradation of the environment. India has felt the need for adopting environmental management practices in the construction industry. Green supply chain management (GSCM) is a tremendous concept which incorporates environmental issues in traditional supply chain management. Many industries have started to use...
In this paper, we have formulated a new model of multi-objective capacitated transportation problem (MOCTP) with mixed constraints. In this model, some objective functions are linear and some are fractional and are of conflicting in nature with each other. The main objective of this paper is to decide the optimum order of the product quantity which is to be shipped from source to the destination subject...
In general, we do not like to wait but each of us has spent a great deal of time waiting in lines even in medical sector also and queuing has become a symbol of inefficiency of a hospital. Managing the length of the line is one of the challenges facing most hospitals. A few of factors that are responsible for long waiting lines or delays in providing services are lack of passion of hospital staff...
A class of second order parameter-free duality models are constructed for semiinfinite (with infinitely many inequality and equality constraints) discrete minmax fractional programming problems, and then using various generalized second-order ($$\phi ,\eta ,\rho ,\theta ,{\tilde{m}}$$ ϕ,η,ρ,θ,m~ )-sonvexity frameworks, several weak, strong, and strictly converse duality theorems are established. The...
The maximum clique problem (MCP) is to determine a complete subgraph (clique) of maximum cardinality in a given graph. MCP is conspicuous for having real world applications and for its potentiality of modeling other combinatorial problems and is one of the most studied NP-hard problems. This paper investigates the capabilities of Harmony Search (HS) algorithm, a music inspired meta heuristic for solving...
In this paper we consider a quadratically constrained quadratic programming problem with convex objective function and many constraints in which only one of them is non-convex. This problem is transformed to a parametric quadratic programming problem without any non-convex constraint and then by solving the parametric problem via an iterative scheme and updating the parameter in each iteration, the...
This paper presents an analysis of heterogeneous two-server queueing system with feedback, reverse balking, reneging and retention of reneged customers. The steady-state solution of the model is obtained and different measures of effectiveness are derived. Economic analysis of the model is performed studying the impact of balking probability and retention probability on the total expected profit of...
A new gradient-based neural network approach is proposed for solving nonlinear programming problems (NLPPs) and bi-objective optimization problems (BOOPs). The most prominent feature of the proposed approach is that it can converge rapidly to the equilibrium point (optimal solution), for an arbitrary initial point. The proposed approach is affirmed to be stable in the sense of Lyapunov and it is capable...
In this paper, a shelf retail decision making model is proposed and examined the effect of different factors such as vertical and horizontal location, product cross elasticity, the number of items in eye-level, etc. The success of a retailer depends on his/her ability to adapt environmental changes through continuous decision making about how much and which product, should be placed from which horizontal...
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