Abstract

Internet-based technologies have changed the way firms do business and manage their supply chains. They have influenced customers’ purchase patterns, thereby motivating manufacturers to introduce online channels alongside traditional ones. Such structures are known as dual-channels. Nowadays, an increasing number of manufacturers offer a return policy to attract more customers and to stay competitive. Furthermore, learning-based continuous improvements help firms cope with market changes and be competitive, flexible and efficient. This thesis presents three main models: The first model investigates the effect of adopting a dual-channel (comprised of a retail channel and an online channel) on the performance of a two-level (vendor-retailer) supply chain. The objective is to maximize the total profit of the system by finding the optimal markup margin and inventory decisions before and after adopting the dual-channel. The results show that adding an online channel would increase the profit of the system. However, it creates a conflict due to competition between the retail and online channels. The second model studies a supply chain system, which is comprised of production, refurbishing, collection, and waste disposal processes. A return policy in which customers can return the purchased item for a refund is also considered. The purpose is to examine the effect of different return policies on the behavior of the system before and after adopting the dual-channel strategy. In both strategies, the model analyzes the change in the profit, the pricing and inventory decisions. The findings demonstrate that the more generous the return policy is, the higher the demand, the selling prices and the overall profit. The third model investigates the effects of learning and forgetting in the vendor’s production processes. It also considers single- and dual-channel strategies. Each channel structure can adopt any of six inventory policies. Learning and forgetting effects are considered in all policies except one. The objective is to maximize the profit of the system by finding the joint optimal pricing and inventory decisions. The results suggests that learning, despite being impeded by forgetting, reduces inventory-related costs thereby allowing the chain to reduce the prices of its product(s), which increases demand and subsequently sales.

Highlights

  • This chapter provides the basis of the topics that are researched in this thesis

  • In the consignment stock (CS) coordination mechanism, the vendor owns the inventory of the final item and stocks it at the retailer’s warehouse, who sells the item to the end users from the consigned inventory and pays the vendor the wholesale price for only the withdrawn quantities that have been sold

  • It would seem that the adoption of an online channel would create conflict between the retailer and the manufacturer, or that it will affect the retailer’s market share, studies have shown that the introduction of an online channel will most likely result in a reduction in the wholesale price of the product sold through the retail channel, and increase the supply chain’s total profit, benefiting both firms in the end (Hua et al, 2010; Shao, 2013)

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Summary

Effect of varying the sensitivity of the demand with respect to the return policy 124

Holding cost at vendor 1’s side for a unit of item i ≠ f, fz (financial and physical xx Raaid Batarfi - April 2017 storage cost), ($/unit/year) hbv1i. Financial holding cost for a unit of item i ≠ z, fz, at the retailer’s side paid by vendor 1, ($/unit/year) hbbi. Physical storage holding cost for a unit of item i ≠ z, fz, at the retailer’s side paid by the retailer, ($/unit/year) hbi. 1, ($/unit/year) hvv22i Physical storage holding cost for a unit of item i ≠ s, z at vendor 2’s side paid by vendor 2, ($/unit/year) hv2i. Financial holding cost for a repairable item at the retailer’s side paid by vendor 1,. Physical storage holding cost for a repairable item at the retailer’s side, ($/unit/year) hbu.

INTRODUCTION
Supply Chain Management (SCM)
Raaid Batarfi - April 2017
Inventory Management
Supply chain coordination
Dual-channel
Reverse logistics supply chain
Learning and forgetting effects on supply chain
CHAPTER 2. LITERATURE REVIEW
Dual-channel supply chain
Reverse logistics (RL) supply chain
The learning and forgetting effects
CHAPTER 3. RESEARCH GAPS
CHAPTER 4. DUAL-CHANNEL SUPPLY CHAIN
Model Description
Assumptions
Notations
Single-channel strategy
Retailer’s profit The profit of the retailer in per unit of time is given as follows
Optimal decisions of the single-channel strategy
Dual-channel strategy
Vendor’s profit
Optimal decisions of the dual-channel strategy
Numerical examples
Sensitivity analysis
Single-channel
Managerial insights
Effect of varying the holding cost of the vendor and the retailer
Single-channel As demonstrated in
Effect of varying the vendor’s setup cost and the retailer’s ordering cost
Effect of varying customers’ acceptance of the online channel
Effect of varying the quoted delivery lead-time
Effect of varying sensitivity to product differentiation
Summary and Conclusions
CHAPTER 5. A PROFIT MAXIMIZATION FOR A REVERSE LOGISTICS DUAL-CHANNEL SUPPLY CHAIN
Demand functions
Vendor 1’s profit function
Vendor 2’s profit function (3PL provider)
Retailer’s profit function
Optimal decision in the single-channel strategy
Optimal decision in the dual-channel strategy
Numerical example
Effect of varying the coefficient of the price elasticity
Managerial insight
Effect of varying the sensitivity of the demand with respect to the return policy
Effect of varying migration parameter
Effect of varying the proportion of returned items
Effect of varying the proportion of returned repairable items
CHAPTER 6. DUAL-CHANNEL SUPPLY CHAIN WITH
The learning and forgetting process
Policy III
Policy 0 The behavior of inventory for policy 0 for a VMI-CS is illustrated in
Policy II
Policy 0
Effects of varying the time for total forgetting
Effects of varying the learning rate
Thesis summary
Thesis contributions
Findings
Future research directions
Full Text
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