Revenue management in a multi-level multi-channel supply chain considering pricing, greening, and advertising decisions

盈利能力指数 供应链 利润(经济学) 业务 绿化 收入 频道(广播) 收益管理 渠道协调 产业组织 供应链管理 广告 营销 微观经济学 经济 计算机科学 电信 财务 政治学 法学
作者
Behrooz Khorshidvand,Hamed Soleimani,Soheil Sibdari,Mir Mehdi Seyyed Esfahani
出处
期刊:Journal of Retailing and Consumer Services [Elsevier BV]
卷期号:59: 102425-102425 被引量:54
标识
DOI:10.1016/j.jretconser.2020.102425
摘要

This paper explores coordinated decisions regarding a multi-level multi-channel supply chain considering the price of sale channels, the advertisement level, and the green policy of the products. The main objective is to maximize the total profit of the Supply Chain (SC) by considering the profitability of entities. In this regard, two kinds of selling channels (i.e. online and in-person) are extended to enable all the entities to sell the product through their own channels. Demands in both types of channels depend on price, greenness, and advertisement. In the studied SC, the manufacturer not only produces the products and sells them to the distributor and the customer but it also decides on the greening and advertising levels. As a contribution, the demand functions simultaneously consider environmental and financial issues. Besides, since each member has its own selling channel, it should determine the price based on three criteria: advertising costs, greening costs, and other members' pricing decisions. For this purpose, three models including Centralized Supply Chain (CSC), Decentralized Supply Chain (DCSC), and Modified Centralized Supply Chain (MCSC) are developed and then solved to cope with various real-world situations. Based on the findings, although the SC gains the most profitability under the CSC model, the manufacturer faces a considerable loss. To overcome this issue, the MCSC model ensures the manufacturer's profit while keeping the price, greenness, and advertisement competitive. Also, the profitability of the MCSC model is more than that of under the DCSC model. The proposed models' performance for different situations is corroborated using several examples and various analyses, along with a real case study. The results acknowledge the applicability of the models and give practical insights for experts.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小郭完成签到,获得积分10
刚刚
花怂怂发布了新的文献求助10
2秒前
烟花应助典雅短靴采纳,获得10
2秒前
慢慢完成签到 ,获得积分10
3秒前
4秒前
4秒前
Enzo完成签到,获得积分10
6秒前
小怪兽完成签到 ,获得积分10
8秒前
英俊的铭应助Tigher采纳,获得10
8秒前
平平无奇完成签到,获得积分10
8秒前
风吹枫又落完成签到,获得积分10
8秒前
心动nofear发布了新的文献求助10
9秒前
10秒前
chen发布了新的文献求助30
10秒前
Enzo发布了新的文献求助10
10秒前
11秒前
AAA发布了新的文献求助10
12秒前
gxyyyy完成签到,获得积分10
13秒前
Luffa完成签到,获得积分10
14秒前
15秒前
lei发布了新的文献求助20
17秒前
小二郎应助Ann采纳,获得10
18秒前
Orange应助显隐采纳,获得10
19秒前
Sg完成签到,获得积分10
19秒前
19秒前
调皮冰旋完成签到,获得积分10
19秒前
22秒前
调皮冰旋发布了新的文献求助10
23秒前
简单白风完成签到 ,获得积分10
23秒前
Hcc发布了新的文献求助10
23秒前
26秒前
独特凡松完成签到,获得积分10
26秒前
滴滴哩哩应助wslzty采纳,获得20
27秒前
万能图书馆应助GUANG采纳,获得10
29秒前
英俊的哈密瓜完成签到,获得积分10
29秒前
梓歆发布了新的文献求助10
29秒前
子俊发布了新的文献求助10
31秒前
32秒前
SYLH应助UniTTEC9560采纳,获得10
32秒前
35秒前
高分求助中
【请各位用户详细阅读此贴后再求助】科研通的精品贴汇总(请勿应助) 10000
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 1000
Global Eyelash Assessment scale (GEA) 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4045974
求助须知:如何正确求助?哪些是违规求助? 3583707
关于积分的说明 11390370
捐赠科研通 3310991
什么是DOI,文献DOI怎么找? 1822131
邀请新用户注册赠送积分活动 894327
科研通“疑难数据库(出版商)”最低求助积分说明 816119