... as substitutes is a non-trivial task as it involves anticipating the substitution behaviour of customers. Substitution behaviour models currently used in quantitative production planning models for configurable products are either based on domain knowledge of experts, which makes them bias-prone, or they require...

.../methodology/approach This study developed a mixed-integer nonlinear mathematical model to handle the pre- and post-disaster planning when a disaster occurs. The represented model has two objective functions: minimizing weighted unmet demand and total costs. Therefore, to convert this multi-objective problem...

..., conflicting projects and roles, worker assignment costs, worker utilization preferences and limits, worker reassignment costs, and arbitrary role start and end times. Moreover, plans must be continuously updated in response to changing circumstances. This paper addresses the problem of dynamic virtual team...

... Sustainability Life cycle assessment Perishable products Planning Logistics Optimization Linear models Supply chain management In today’s business environment, no single company can survive solely based on its resources and manpower (Jha et al., 2019). Therefore, designing a strategic...

... Information systems Planning Modelling Computing Smart cities TISM Key factors MICMAC analysis Implementation of smart city Furthermore, it is pertinent to note that a complete city model comprises of five layers (Harrison and Donnelly, 2011) consisting of Natural city environment, Physical...

...) of SMEs, To establish cause and effect relationship amongst the factors and sub-factors and To carry out qualitative analysis of the feedback loops. Planning Policy Modelling SMEs systems thinking factor analysis path analysis India H2. Government policy and regulations...

... capacity under Scenario 1 (considering only the age) for the management objective related to the network, such as annual budget plans; and RF shows the highest success percentage of sewers in critical condition (sewer level) considering Scenario 2 for both case studies. Practical implications...

.... In the past, many researchers suggested inefficient optimization techniques for managing uncertainties in environmental management plans (Xu et al., 2020). Fuzzy and stochastic programming techniques were generally used to solve waste management problems under uncertainty in supply chains (Soltani...

...Dayanidhi Jena; Pritee Ray Purpose The purpose of this paper is to develop a model for the production planning decision of a dairy plant in a multi-product setting under supply disruption risk and demand uncertainty while determining the optimal product-mix and material planning requirement...

...R. Ghasemy Yaghin; P. Sarlak Purpose This paper aims to propose an integrated supplier selection, order allocation, transportation planning model, along with investment planning for corporate social responsibility (CSR), over a given multi-period horizon under uncertainty. Furthermore...

... at: rajesh_katiyar21@yahoo.co.in 20 01 2018 16 05 2018 19 06 2018 © Emerald Publishing Limited 2018 Emerald Publishing Limited Licensed re-use rights only Decision-making Banking Modelling Planning Business policy The World Wide Web (WWW) has completely changed...

... economy is greatly beneficial to save electricity. Originality/value Following insights are obtained: reasonable infrastructure construction plans should be made for increasing electricity demand; increasing electricity demand further challenges China’s greenhouse gas reduction target; and the fact...

...Zhixiang Chen; Bhaba R. Sarker Purpose – The purpose of this paper is to study the impact of learning effect and demand uncertainty on aggregate production planning (APP), provide practitioners with some important managerial implications for improving production planning and productivity...