RFId-enabled Lateral Trans-shipments in the Fashion &
Apparel Supply Chain
Riccardo Mogre, Alessandro Perego and Angela Tumino
Department of Management, Economics and Industrial Engineering, Politecnico di Milano
Piazza Leonardo da Vinci 32, 20133 Milan, Italy
Abstract. There is a growing attention towards the application of Radio
Frequency Identification (RFId) technology in the Fashion & Apparel supply
chain. This paper describes a Lateral Trans-shipment replenishment policy
enabled by item-level RFId tagging. In fact, in order to adopt a Lateral Trans-
shipment policy, a firm should have an accurate visibility of both the inventory
level in its warehouses and in each store. Such visibility can be provided by
RFId technology. An analytical model has been developed to evaluate the
convenience of applying a Lateral Trans-shipment policy, and the main
managerial implications are discussed.
1 Introduction
There is a growing interest in the application of Radio Frequency Identification
(RFId) technology in the Fashion & Apparel industry, proved by the various projects
launched worldwide (e.g. [1]). Both managers and academics foresee that RFId can
lead to great benefits in terms of reduction of thefts and counterfeiting, increment of
on-shelf availability, and thus a better service level (e.g. [2]). In fact, RFId enables the
monitoring of WIP (Work In Progress) and finished products along the supply chain,
thus allowing a better control of the process [3]. Moreover, this better visibility
enables new replenishment policies like Lateral Trans-shipment, i.e. the shipment of
goods between two retail stores, which are believed to lead to a reduction in stock-
outs, inventories and transportation costs [4].
The relationship between RFId technologies and new replenishment policies
aimed at improving the performance in the points of sale is little studied in the
literature, with a few notable exceptions (e.g. [5]). This paper aims to present an
analytical model to assess the benefits of RFId-enabled Lateral Trans-shipment
policies in the Fashion & Apparel industry.
The paper is structured as follows. Section 2 presents the problem context,
underlining the effects of Trans-shipment policies and the RFId technological
scenario required to perform such policies. Section 3 provides the description of the
analytical model and Section 4 presents the results of its application to a prominent
Italian company. The last section presents a discussion and some concluding remarks.
Mogre R., Perego A. and Tumino A. (2009).
RFId-enabled Lateral Trans-shipments in the Fashion & Apparel Supply Chain.
In Proceedings of the 3rd International Workshop on RFID Technology - Concepts, Applications, Challenges , pages 117-124
DOI: 10.5220/0002201001170124
Copyright
c
SciTePress
2 Context
2.1 Lateral Trans-shipment in the Fashion & Apparel Supply Chain
In the Fashion & Apparel Supply Chain the points of sale are usually replenished
from local distribution centers or warehouses. The products are shipped with a “Less
than Truck Load” transportation, i.e. small trucks or lorries visit many stores in a
round trip. Nevertheless, when the distance between the warehouse and the points of
sale is not that small, if a store runs out of an article, it can take a very long time
before that product is replenished from the warehouse. If consumers cannot find a
product on the shelf, the company owning the stores suffers a lost sale.
The Lateral Trans-shipment policy can be used to avoid product shortages or to
reduce the effects of shortages, i.e. the time during which the product is not available.
Lateral Trans-shipment means a “horizontal” shipment between two nodes at the
same level of a supply chain, in our case two stores [4], [6]. This means that the store
which runs out of an article can be supplied by another store (owned by the same
company) which still has enough quantity of the same article. More specifically,
Lateral Trans-shipments can be divided into Emergency Lateral Trans-shipments
(ELT) and Pre-emptive Lateral Trans-shipments (PLT). ELT is the reaction to a
stock-out occurring in a store, and consists of providing the store with the required
articles from another store that has ample stock [7]. PLT instead reduces stock-out
risk by redistributing the stock between the stores before customer demand is realized
[4], [6].
Lateral Trans-shipment policies could be very useful for firms operating in the
Fashion & Apparel industry since:
The configuration of the Fashion & Apparel supply chain includes many stores
located very near to each other (e.g. in the city center) with a central warehouse
usually located far from them;
The demand characterizing the products of this industry is hardly predictable
(fashion effect);
The stores usually keep small amounts of stock due to the scarce availability of
space, again as they are usually located in the city center.
Currently, firms operating in the Fashion & Apparel industry do not have an
accurate visibility of the inventories, especially those available in the stores. This
inaccuracy is due to thefts and shrinkage (e.g. shipping errors) occurring in the supply
chain between the Central Warehouse and the points of sale. Moreover, thefts and
errors can also occur inside the points of sale. The lack of visibility is an obstacle to
the implementation of Lateral Trans-shipment, as this policy requires knowledge of
the exact level of inventory in each store. The inaccuracy could be eliminated by
scanning all the articles at their arrival to the point of sale, thus updating the inventory
status. Nevertheless this operation would take too much time if performed with
traditional bar-code technology. In fact, it would require to open each case, remove
the plastic bag that covers each article, find the bar-code and scan it. RFId technology,
thanks to the possibility of identifying the articles without a direct line of sight, can
provide an extremely efficient and effective way of performing this activity.
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2.2 RFId Scenario
RFId technology allows the tracking of every single article along the Fashion &
Apparel supply chain. A unique identifier (EPC, Electronic Product Code) can be
written in the tag applied to each article, and the specific product features, along with
supply chain information (e.g. the countries where the product is designed or
produced), can be associated to each identifier in the firm’s Information System.
Using RFId scanners, the operators can identify all the goods without opening the
cases, by simply waving the scanner near each case. When the operators read the tags,
the new location (i.e. the store) is recorded in the Information Systems. The
technological feasibility of this solution has been proved by the tests carried out by
the Italian GS1 EPC Lab, which has shown good read rates [8]. More specifically,
three reading configurations have been tested to better simulate different application
scenarios: clothes contained in a box moved on a conveyor, hanging clothes moved
on a roll-container, and multiple boxes of clothes moved on a roll container.
Two tagging solutions can be adopted.
1. Apply a re-usable tag that can be removed by the operators when the product is
sold and then sent back to the plant to be put on other products. These tags should
be designed in order to prevent the damage of the articles (cf. Figure 1a). They
might have also anti-theft functionalities. As a drawback, they are quite expensive
and unwieldy.
2. Apply a disposable tag whose removal from the article is not required when sold.
This tag can be integrated in the article label, thus supporting anti-counterfeiting
and, potentially, anti-theft functionalities. This tag is less expensive than the
former and, because of its small dimension, there is no risk to damage the articles
(cf. Figure 1b).
(a) (b)
Fig. 1. The RFId tags (courtesy of the Italian GS1 EPC Lab).
2.3 Reference Replenishment Policies
When a stock-out occurs in a store (called Receiver Store), without the adoption of
RFId technology, the store manager can decide to:
1. do nothing” (DN), i.e. the store manager decides to bear the cost of stock-out
without changing the replenishment policy. The basic assumption is that if the
customer does not find the article in the store, the sale is lost unless the article
becomes available in a few days (which is not possible without changing the
replenishment policy);
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2. adopt a “Central Warehouse - Express Courier” or CWEC policy, i.e. the use of
Express Courier services for an emergency shipment from the Central Warehouse.
The basic assumption, as described later (cf. Section 3), is that the customer
accepts to come back to the point of sale to buy the article if it is made available at
the store in a few days.
When the RFId scenario described in Section 2.2 is adopted, a third option is
available:
3. adopt an “Emergency Lateral Trans-shipment” or ELT policy, i.e. an urgent
shipment from another retail store (called Supplier Store) of the same company.
Again, the basic assumption is that the customer is willing to wait a few days in
order to buy the article. When a stock-out occurs in a point of sale, the store
manager contacts an Express Courier to transport the needed product from the
Supplier Store to the Receiver Store. This policy can be applied only if the firm
has a complete, accurate visibility of stock in all the points of sale, which is the
case if item-level RFId tagging is adopted.
3 Model
The proposed model aims to evaluate the benefits related to the adoption of a Lateral
Trans-shipment policy which is enabled by RFId technology. In order to do this, the
model compares the payoffs of the three replenishment policies described in Section
2.3 (DN, CWEC, ELT). These payoffs have been evaluated by considering a base-line
situation in which the article is available at the store and can be sold.
The model has been developed under the following assumptions.
The model supports the management of a stock-out that has already occurred,
while it does not take into consideration policies which can be adopted to prevent
future stock-outs.
When a stock-out occurs in a store, there is at least one product available in the
Central Warehouse and one product available in an other store.
When a stock-out occurs, the customer is willing to wait a few days in order to
buy it. This “fast delivery” is enabled only by the CWEC and ELT policies, while
the replenishment time in the “do nothing” scenario is too long. More specifically,
when a CWEC or an ELT policy is adopted, the customer is supposed to book the
missing article and buy it when it becomes available at the store.
When a Central Warehouse Express Courier (CWEC) or an Emergency Lateral
Trans-shipment (ELT) policy is adopted, the cost to process the additional
shipment order is considered to be negligible.
The model refers to a scenario in which only one article at a time runs out of
stock, while it does not consider the situation in which many articles are
simultaneously out of stock.
The model is based on the following parameters.
1. Price (PR), i.e. the price of a single article.
2. Gross Margin (%GM), i.e. the difference between the price and the production
cost of a single article, expressed in percentage of the price. The value of %GM
has been assessed through a real case and is 42.2%.
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3. Consumption probability (PROB), i.e. the probability that a product is bought in a
store. PROB depends on various factors, the most important being the current
level of stock in the store and the remaining time before the end of the season.
These factors are not explicitly considered in the model, but they should be
considered to assess the proper PROB value.
4. Expected Markdown (%EM), i.e. the percentage of expected reduction of the price
of an article. The %EM should be higher when the product is expected to be sold
near the end of the season or in the end-of-season sale. The expected value of
%EM has been assessed through a real case and is 7.8%. This value already takes
into account the probability of selling a product with different discount prices and
the discount prices themselves.
5. Transport Cost (TC), i.e. the cost of transporting the goods from one destination to
another. The model considers only the extra-costs to transport the missing goods
to the store urgently. This cost is usually high, as the transport is performed with
an Express Courier. We refer to TC
ELT
in case of Lateral Trans-shipment from a
nearby store and TC
CWEC
in case of Central Warehouse Express Courier case. The
value of TC
ELT
is € 10; the value of TC
CWEC
is € 15 if the Central Warehouse is
located in the same country of the store and it is € 69 if the Central Warehouse is
not located in the same country of the store.
It is now possible to compute the payoff for each identified policy. As stated
before, the payoffs have been assessed by considering the differential costs and
benefits with respect to the situation in which the article is available in the store. If the
store manager decides to “do nothing” (DN), he tells the customer that the product is
not available in the store. Obviously, the payoff of this policy is always negative, as
the firm bears the stock-out cost without any additional income. The stock-out cost
can be simply expressed as a lost margin (%GM*PR), as shown in Formula 1.
P
DN
= – %GM*PR (1)
If the store manager decides to apply a Central Warehouse Express Courier
(CWEC) policy, he will allow the customer to book the product, that will be shipped
as soon as possible from the Central Warehouse through an Express Courier. Then,
the payoff of the CWEC policy considers only the transportation cost through an
Express Courier service from the central warehouse to the Receiver Store (TC
CWEC
),
since the article is indeed sold to the customer (cf. Formula 2).
P
CWEC
= – TC
CWEC
(2)
If RFId technology is in place, the store manager might also decide to apply the
Emergency Lateral Trans-shipment (ELT) policy. In this case the store manager will
allow the customer to book the product, which will be shipped as soon as possible
from a Supplier Store through an Express Courier. Then, the payoff of the ELT policy
is the transportation cost through an Express Courier service from a nearby store
TC
ELT
. Moreover, it is necessary to consider that the same article, if not shipped to the
Receiver Store, could be sold in the Supplier Store in the future with a probability
PROB. For this reason, the expected value of stock-out cost in the Supplier Store
should be considered (PROB*%GM*PR), reduced by the entity of the Expected
Markdown.
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P
ELT
= – TC
ELT
PROB*%GM*PR*(1-%EM) (3)
4 Results
This section presents the results obtained by the application of the model to a
reference multi-store fashion company (Table 1).
Table 1. Payoffs for the different policies.
Article price PR
(€)
PROB
Payoffs (€)
DN
CWEC
ELT
Same country Nearby country
30
~0
- 12.66
- 15.00
- 56.34
-10.00
0.25 -12.92
0.5 - 15.84
0.75 - 18.76
1 - 21.68
60
~0
- 25.32
- 10.00
0.25 - 15.84
0.5 - 21.68
0.75 - 27.52
1 - 33.36
120
~0
- 50.64
- 10.00
0.25 - 21.68
0.5 - 33.36
0.75 - 45.04
1 - 56.72
In particular, the three replenishment policies have been compared for three levels
of article prices: “Low price” (€30), “Average price” (€60) and High price” (€120).
Moreover, since the results depend on the probability that a product is sold, five
different values of PROB have been considered.
Obviously, all the payoffs are negative, since the base-line scenario is the absence
of stock-outs and the considered options are ways to mitigate the effect of a stock-out.
The results depicted in Table 1 show that:
The payoffs of the DN policy depend on the price of the article (the higher the
price, the higher the stock-out cost) and are not affected by the probability PROB.
The payoffs of the CWEC policy depend only on the location of the central
warehouse. If the Central Warehouse is located in a nearby country, the
transportation costs are significantly higher.
The lower the probability PROB, the higher (i.e. the less negative) the payoffs of
the ELT policy, because the firm succeeds in exploiting the highest margin from
products that have already been shipped to the stores and that can have little
likelihood of being sold in the future.
Analyzing the results, there is strong evidence that the Emergency Lateral Trans-
shipment enabled by RFId technology is highly recommended in a large number of
cases. In order to support the decision, Fig. 2 compares the policies that can be
adopted with or without the RFId technology on the basis of the location of the central
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warehouse, the price of the article and the e the probability PROB of selling the article
in the Supplier Store by the end of the season.
No RFId
Nearby country
PR=€30
Best policy: DN
Payoff (€): -12.66
Best policy: DN
Payoff (€): -25.32
PR=€60
Best policy: DN
Payoff (€): -50.64
PR=€120
Best policy: DN
Payoff (€): -12.66
PR=€30
Best policy: CWEC
Payoff (€): -15.00
PR=€60
Best policy: CWEC
Payoff (): +15.00
PR=€120
Same country
RFId
Nearby country
Same country
PR=€30
Best policy: ELT
Payoff (€): -12.66 -10.00
Best policy: DN
Payoff (€): -12.66
PR=€60
Best policy: ELT
Payoff (€): -15.00 ÷ -10.00
Best policy: CWEC
Payoff (€):-15.00
Best policy: ELT
Payoff (€): -15.00 ÷ -10.00
Best policy: CWEC
Payoff (€): -15.00
PR=€120
PROB
PROB
PROB
PROB
PROB
PROB
PR=€30
Best policy: ELT
Payoff (€): -12.66 -10.00
Best policy: DN
Payoff (€): -12.66
PR=€60
Best policy: ELT
Payoff (€): -25.32 ÷ -10.00
Best policy: DN
Payoff (€):-25.32
Best policy: ELT
Payoff (€): -50.64 ÷ -10.00
Best policy: DN
Payoff (€): -50.64
PR=€120
Fig. 2. Comparison of the different policies.
It can be observed that the payoffs obtained in the RFId scenario are always equal
or higher than those obtained without RFId. This is due to the fact that RFId can
enable a new policy (ELT) which proves to be convenient in most of the considered
situations. Analyzing the results more in detail it can be observed that:
When RFId technology is not implemented, the firm can decide to “do nothing”
(DN) or to send the article from the Central Warehouse with an Express Courier
(CWEC). A CWEC policy should be preferred when the additional transportation
costs are covered by the additional margin, i.e. when the Central Warehouse is
located in the same country or for high value products, and for “average” or “high
value” products.
In the RFId scenario, the firm can decide to “do nothing” (DN) or to adopt two
alternative policies, i.e. CWEC or ELT. Figure 3 shows that when the Central
Warehouse is located in a nearby country ELT becomes more convenient for high
value products and for products which have little likelihood of being sold in
future. In the other situations, the DN policy should be preferred due to the high
transportation cost related to the CWEC policy. When the Central Warehouse is
located in the same country and the article has a low probability to be sold ELT
proves to be the best policy. In the other scenarios, DN should be preferred for
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low value articles, while the adoption of CWEC policy is recommended for
“average” or “high value” products.
5 Concluding Remarks
RFId technologies can enable an Emergency Lateral Trans-shipment (ELT) policy in
the Fashion & Apparel Supply Chain. ELT is convenient when there is a low
probability to sell the products at full price in the Supplier Store, therefore every
potential sale should be exploited and when the Central Warehouse is far from the
stores, e.g. it is located in another country, and an express shipment from the
warehouse to the store would be extremely expensive.
Further studies should also investigate the Preventive Lateral Trans-shipment
policy and relax some of the model assumptions, for instance considering a
distribution network with more than two points of sale and/or a cost to process the
additional shipment order different from zero. Further studies should also be devoted
to the assessment of the benefits and the Return of Investment (ROI) ensuing from the
adoption of item level RFId tagging in Fashion-Retail supply chain. This application,
by improving visibility, can enable companies to apply a large set of different policies
in terms of collaboration and replenishment, and not exclusively the Lateral Trans-
shipment based ones.
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