Production Decision Based on Discounted Price and Delivery Frequency for Garment Original Equipment Manufacturer with Constrained Capacity

Original equipment manufacturers(OEM) have never been so important and powerful as it is today in garment manufacturing industry.The OEMsupplier's production decisions always have a great impact on the market performance and the profits of a garment brand manufacturer.With constrained capacity and multiply buyers,howto make reasonable production decisions is an urgent problem for OEMsuppliers.A price discount model with a single OEMsupplier and two buyers is proposed to deal with the problem.Based on this model,the OEMsupplier could satisfy buyers' demands and guarantee their profits as well through adjusting price and delivery frequency.A numerical example validates the validity of the model.

Superior vs. Inferior Voting Shares： Price Premium or Discount？

This paper analyzes the price difference between superior voting （SV） and inferior voting （IV） shares for three dual-class firms： Farmer Mac as a big price discount case, Fox as a price similarity case, and Heico as a big price premium case. We show that the price difference is mainly affected by the control benefit, while voting power and liquidity are also relevant factors. We suggest that the control benefit can be revealed by examining share accumulation and firm performance.

A Stochastic Flight Problem Simulation to Minimize Cost of Refuelling

Commercial airline companies are continuously seeking to implement strategies for minimizing costs of fuel for their flight routes as acquiring jet fuel represents a significant part of operating and managing expenses for airline activities.A nonlinear mixed binary mathematical programming model for the airline fuel task is presented to minimize the total cost of refueling in an entire flight route problem.The model is enhanced to include possible discounts in fuel prices,which are performed by adding dummy variables and some restrictive constraints,or by fitting a suitable distribution function that relates prices to purchased quantities.The obtained fuel plan explains exactly the amounts of fuel in gallons to be purchased from each airport considering tankering strategy while minimizing the pertinent cost of the whole flight route.The relation between the amount of extra burnt fuel taken through tinkering strategy and the total flight time is also considered.A case study is introduced for a certain flight rotation in domestic US air transport route.The mathematical model including stepped discounted fuel prices is formulated.The problem has a stochastic nature as the total flight time is a random variable,the stochastic nature of the problem is realistic and more appropriate than the deterministic case.The stochastic style of the problem is simulated by introducing a suitable probability distribution for the flight time duration and generating enough number of runs to mimic the probabilistic real situation.Many similar real application problems are modelled as nonlinear mixed binary ones that are difficult to handle by exact methods.Therefore,metaheuristic approaches are widely used in treating such different optimization tasks.In this paper,a gaining sharing knowledge-based procedure is used to handle the mathematical model.The algorithm basically based on the process of gaining and sharing knowledge throughout the human lifetime.The generated simulation runs of the example are solved using the proposed algorithm,and the resulting distribution outputs for the optimum purchased fuel amounts from each airport and for the total cost and are obtained.

Pricing and ordering strategies in a two-echelon supply chain under price discount policy:a Stackelberg game approach

Supply chain management coordinates different strategies for the production system.The manufacturer requires some incentive schemes to motivate the retailer to change his policy,optimal for the whole system.This paper suggests a discount mechanism by which companies can coordinate their ordering and pricing strategies throughout a supply chain model with a single manufacturer and single retailer.Also,the demand curve is iso-elastic price sensitive.Channel members have decided their selling price and order quantity jointly and independently to maximize the supply chain profit.A coordination mechanism is proposed based on quantity discounts to correlate pricing and ordering strategies simultaneously.The decentralized case is analyzed under the manufacturer-Stackelberg game approach.The result of numerical investigation shows that the suggested discount mechanism has improved the supply chain profit as well as each channel member’s profit in comparison with the centralized and decentralized decisions without discount.

Centralized Decisions for a Two-Stage Supply Chain with Price-Discount Dependent Demand

In this paper,we study a centralized supply chain for a two-stage with selling price discount.This supply chain consists of a supplier and a retailer. Based on the feature that the product’s selling season is short and the supply chain faces great demand uncertainty. We consider a two-stage scenario where,at the beginning of stage 1,the supplier reserves production capacity based on historic data in advance,stage 2 comes to us after some leadtime,both the supplier and the retailer update the demand information,the retailer then places an order not exceeding the reserved capacity based on the selling-pricing discount dependent demand. We make optimal decisions on the reserved capacity in stage 1,selling price discount and order quantity in stage 2. In this supply chain,the pattern in stage2 is figured out first,and then stage 1 is cleared as well. Then we present a numerical example to give some insights. Finally we get some conclusions.

Study on Lead Time and Price Discount in Supply Chain Management

The mathematical model of the demander versus supplier has been presented by adopting optimization theories, the economical order quantity （EOQ） and economic production quantity （EPQ） has further been studied. Then under the consideration of Pareto optimization, a joint decision model of price and lead time discount and lot size has been presented. Further more the sensitive analysis of price and lead time discount are analyzed with an empirical example.

COORDINATING A TWO-ECHELON SUPPLY CHAIN THROUGH DIFFERENT CONTRACTS UNDER PRICE AND PROMOTIONAL EFFORT-DEPENDENT DEMAND

Retail price and promotional effort are two important parameters on which demand of a commodity largely depends. This paper develops and analyzes a two-echelon supply chain where market demand depends on both retail price and sales effort. The centralized model is studied as the benchmark case, and the wholesale price-only contract is studied as the base case in which each entity tries to maximize its individual profit. Different contract mechanisms are implemented to outperform the base case in terms of both total chain＇s as well as individual profits. Comparisons among the coordinating contracts are provided so that any entity may choose the better one from available contracts after the contract parameters are negotiated. The model is extensively examined through a numerical example.