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ME50320	International	Networks	for	Production,	Service	&	Logistics	 20.04.2016	
	
	
	
Individual	Assignment	
University	of	Bath	
	
	
	
	
	
Title:	
“Good	things	come	to	those	who	wait.”	But	do	not	keep	the	consumer	
waiting	too	long.	
	
	
	
	
	
Assignment	code	and	name:	
MN50320	
International	Networks	for	Production,	Service	&	Logistics	
	
	
	
Word	count:	
2154	
	
	
	
	
Date	of	submission:	
20.04.2016
ME50320	International	Networks	for	Production,	Service	&	Logistics	 20.04.2016	
	
Introduction	
Guinness	 –	 “the	 Black	 Stuff”	 –	 has	 been	 brewed	 for	 over	 250	 years	 at	 it’s	 St.	 James’s	 Gate	
brewery	in	Dublin	since	1759,	where	the	founder	Arthur	Guinness	ostensibly	signed	a	9000	
year	lease	for	the	site	(Reese,	2007).	Since	1769	Guinness	has	been	exported,	first	to	Great	
Britain,	then	increasingly	further	afield,	and	is	now	enjoyed	around	the	globe.	According	to	
their	 website	 Guinness	 is	 brewed	 in	 more	 than	 50	 countries	 and	 sold	 in	 over	 100	
(Guinnesscom,	2016).	Such	a	global	brand	requires	careful	management	right	across	supply	
chain	(SC)	in	order	to	ensure	timely	delivery	of	product	to	customers	around	the	world,	which	
is	to	be	the	focus	of	this	paper.	This	paper	will	explore	the	international	networks	involved	in	
the	 production,	 service,	 and	 logistics	 at	 Guinness.	 It	 will	 examine	 the	 SC	 and	 links	 in	 the	
logistical	 network,	 highlight	 points	 of	 weakness	 and	 what	 Guinness	 has	 done	 to	 mitigate	
these,	and	the	improvements	that	decisions	by	the	firm	have	had	on	operations	within	the	SC	
and	international	networks.	
Serving	the	markets	
Guinness	is	brewed	in	multiple	countries	around	the	world	however	every	glass	contains	a	
little	taste	of	Ireland	due	to	the	unique	wort	brewed	at	St.	James’s	Gate	that	is	distributed	to	
every	production	facility	to	be	added	during	the	brewing	process.	In	2007	production	at	St.	
James’s	 Gate	 accounted	 for	 approximately	 80	 percent	 of	 all	 Guinness	 brewed	 and	 sold	
globally.		The	four	largest	markets	are	Britain,	Ireland,	Nigeria,	and	America	(Fabb,	2007;	Cilt	
world,	2007).	In	the	past	decade	sales	at	home	in	Ireland	and	in	the	UK	have	been	in	decline,	
while	 the	 American	 and	 Nigerian	 markets	 have	 shown	 increased	 performance	 (Harrison,	
2007;	Fabb,	2007;	Griffiths,	2004;	Madichie,	2008).	This	has	likely	been	a	major	contributing	
factor	of	the	firms	decision	to	invest	$400	million	to	expand	production	capabilities	in	Nigeria	
between	 2004	 and	 2009	 (Madichie,	 2011),	 where	 they	 have	 had	 a	 presence	 since	 1962	
(Purefoy,	 2009),	 allowing	 for	 it’s	 Irish	 site	 to	 focus	 on	 serving	 the	 American	 markets	 and	
Nigeria	to	focus	on	Africa	nations.	Due	to	greater	frequency	of	activity	between	Ireland	and	
the	American	markets	this	will	be	the	focus	of	attention	for	this	paper.	
Since	 it	 entered	 the	 international	 market	 shipping	 has	 been	 the	 transportation	 method	 of	
choice	for	Guinness.	For	the	past	100	years	Guinness	has	owned	its	own	vessels,	updating	its	
fleet	regularly	(Bourke,	2016).	More	than	14,000	barrels	are	shipped	from	Dublin	every	day	
(Cilt	 world,	 2007).	 Small	 feeder	 vessels	 depart	 from	 Victoria	 Quay	 on	 the	 Liffey	 (Bourke,	
2016).	The	UK	is	the	first	stop,	either	Liverpool	or	Southampton,	and	then	on	to	the	deep	sea	
port	in	Rotterdam.	From	here	the	majority	is	transferred	onto	larger	ships	to	be	taken	up	to	
the	North	Sea	and	out	into	the	Atlantic	to	be	delivered	to	ports	on	the	American	continent	and	
beyond.	 The	 rest	 is	 sent	 by	 rail	 or	 road	 to	 European	 markets	 (Cilt	 world,	 2007).	 Serving	
markets	 that	 are	 spread	 out	 across	 every	 continent	 requires	 careful	 planning	 and	
coordination	at	every	stage	of	the	supply	chain	in	order	to	ensure	a	continuous	flow	of	beer	at	
the	taps	right	around	the	globe.	Of	concern	is	the	phenomena	known	as	the	Bullwhip	Effect,	
which	illustrates	that,	even	minor	disturbances	can	rapidly	become	amplified	as	they	transfer	
along	the	SC	(Lee	et	al.	1997).	As	Figure	1	below	shows	there	are	multiple	steps	involved	in	
the	SC.	The	Bullwhip	Effect	dictates	that	the	more	links	in	the	SC,	the	more	chance	there	is	for	
delays	to	occur.	This	presents	problems	for	Guinness,	and	any	firm	involved	in	international	
networks.
ME50320	International	Networks	for	Production,	Service	&	Logistics	 20.04.2016	
	
Figure	1:	Model	of	Guinness	Supply	Chain	(simplification)	
	
	
Getting	the	right	measure	of	things	
Managing	the	supply	chain	of	a	global	brand	is	a	complex	task	and	for	Guinness	a	key	factor	of	
measurement	 is	 customer	 service	 and	 satisfaction.	 In	 2003	 Andy	 Cullen	 was	 tasked	 with	
measuring	the	SC	in	order	to	discern	its	condition,	and	to	make	any	necessary	improvements	
(Reese,	 2007).	 In	 accordance	 with	 SCOR	 Metrics,	 reliability	 was	 the	 key	 measure	 used	 to	
gauge	performance;	goods	needed	to	be	dispatched	at	the	right	place,	time,	quantity,	quality,	
price,	 and	 with	 the	 right	 support.	 Guinness	 called	 this	 metric	 “on	 time	 in	 full	 on	 dispatch"	
(Reese,	2007).	Results	showed	that	“customer	service	numbers	looked	pretty	good:	99-100	
percent	month	after	month”	(Reese,	2007).	
The	initial	figures	for	dispatched	goods	appeared	positive.	However,	timely	dispatch	of	goods	
does	not	guarantee	timely	delivery.	Unfortunately,	the	shipping	industry	cannot	be	depended	
upon	for	reliability	and	it	is	characterised	by	a	great	deal	of	earliness	and	tardiness	(Chen,	
1996;	 Chung	 et	 al.	 2013).	 Pacific	 Shipper	 (2007)	 summarised	 market	 data	 gathered	 by	
London's	Drewry	Shipping	Consultants.	It	showed	that	average	on-time	arrivals	were	in	the	
40-60%	range	for	the	container	industry,	with	trans-Atlantic	routes	coming	in	as	low	as	27%.	
The	survey	conducted	by	Vernimmen	et	al.	(2007)	supports	these	findings,	which	showed	that	
“more	 than	 40%	 of	 the	 vessels	 deployed	 on	 worldwide	 liner	 services	 arrived	 one	 or	 more	
days	 behind	 schedule.”	 This	 is	 reflected	 among	 companies	 within	 the	 shipping	 industry.	 A	
Logistics	Today	(2007)	poll	showed	that	“frequent	late	arrivals”	affected	48%	of	respondents.	
A	break	down	of	shipping	volatility	by	Notteboom	(2006)	shows	that:	93.6%	are	attributable	
to	port	operations,	5.3%	are	because	of	weather	conditions	or	mechanical	problems	at	sea,	
0.9%	are	because	of	delay	when	transiting	canals,	and	0.2%	owing	to	unexpected	wait	time	at	
bunkering	sites.	This	is	evidence	of	errors	that	lead	to	delays	in	the	shipping	industry	and	as	
Guinness	largely	relies	upon	shipping	this	affects	their	delivery	times.	For	those	shipments	
affected	a	journey	that	usually	takes	approximately	“21	days	to	New	York,	and	up	to	33-36	
days	to	Los	Angeles”	(Reese,	2007)	will	be	drawn	well	into	a	second	month.	
Cullen	 soon	 realised	 that	 metric	 being	 used	 to	 measure	 customer	 satisfaction	 did	 not	
represent	 the	 true	 customer	 views.	 Guinness	 had	 been	 measuring	 the	 wrong	 metric,	
relinquishing	 responsibility	 once	 barrels	 were	 loaded	 safely	 onto	 feeder	 vessels.	 Once	 this	
error	was	realised	he	looked	at	changing	the	measurement	metrics	from	OTIF	on	dispatch	to
ME50320	International	Networks	for	Production,	Service	&	Logistics	 20.04.2016	
	
"on	time	in	full	on	arrival”	(“OTIF	on	arrival”)	(Reese,	2007),	which	saw	Guinness	responsible	
for	barrels	until	being	received	by	the	customer.	This	meant	the	need	to	monitor	each	barrels	
journey	until	it	arrived	at	the	customer’s	premises.	This	is	a	complex	job	with	many	potential	
places	for	problems	to	occur.	In	order	to	do	improve	results	a	new	sophisticated	system	was	
needed	to	give	accurate	data	in	real-time	right	across	the	SC.	
Performance	measurement	and	improvement	
Due	to	the	complex	nature	of	SC’s	increasing	numbers	of	businesses	are	turning	to	technology	
and	 computer	 tools	 to	 help	 with	 complex	 business	 processes	 such	 as	 SC	 management.	
Business	 Intelligence	 (BI)	 is	 a	 relatively	 new	 development	 in	 the	 lifetime	 of	 computers.	
According	to	Cebotarean	(2011)	“BI	technologies	provide	historical,	current,	and	predictive	
views	 of	 business	 operations.	 Common	 functions	 of	 business	 intelligence	 technologies	 are	
reporting,	 online	 analytical	 processing,	 analytics,	 data	 mining,	 business	 performance	
management,	benchmarking,	text	mining,	and	predictive	analytics.	Business	intelligence	aims	
to	 support	 better	 business	 decision	 making.”	 There	 are	 a	 great	 number	 of	 BI	 softwares	
including	 “IBM	 Congos,	 SAS,	 MicroStrategy,	 Actuate,	 and	 more”	 (Abzaltynova	 et	 al.	 2009).	
Until	now	Guinness	had	used	the	BI	tool	Manugistics	(now	JDA)	for	supply	chain	management	
and	 manufacturing	 planning	 (JDA,	 2016).	 However,	 Cullen	 wanted	 "something	 a	 little	 bit	
different,	a	little	bit	leading-edge"	(Reese,	2007)	that	could	monitor	the	SC,	receive	accurate	
real-time	data	at	each	stage,	and	help	with	production	planning	accordingly.	SeeWhy	(now	
part	 of	 SAP),	 which	 brands	 itself	 as	 the	 “real-time	 Business	 Intelligence	 platform",	 was	
selected	for	the	job	(SAP,	2014).	
According	to	Ziora	(2012)	Real-time	Business	Intelligence	(RTBI)	“can	be	especially	useful	at	
operational	level…	where	information	needed	for	the	purpose	of	decision	taking	should	be	up	
to	 date	 and	 nearest	 real-time	 as	 much	 as	 possible.”	 Further,	 it	 can	 speed	 up	 the	 decision	
making	process	by	offering	“real	time	marketing,	fraud	detection,	optimization	of	supply	chain	
in	 logistics	 etc.”	 (Ziora,	 2012).	 This	 enables	 SC	 managers	 to	 make	 faster	 decisions	 by	
simplifying	the	decision	process	by	“giving	the	correct	information	to	the	right	people”	(Tank,	
2015).	 Different	 operators	 and	 information	 systems	 across	 the	 network	 can	 communicate	
with	each	other	directly	meaning	that	a	lag	is	picked	up	on	and	can	be	adjusted	for	with	all	
relevant	 actors	 being	 made	 aware.	 This	 can	 lead	 to	 reduced	 delays	 and	 costs,	 and	 also	
improve	 response	 to	 disruptions,	 smoothing	 supply	 levels	 right	 across	 operations.	 Tank	
(2015)	further	points	out	that	by	having	information	readily	available	managers	can	respond	
to	customers	quicker,	which	reduces	company	costs	and	increases	customer	satisfaction.	It	is	
recognised	 that	 initial	 investment	 required	 is	 “more	 costly	 than	 “traditional”	 Business	
Intelligence	 systems…	 and	 RTBI	 implementation	 may	 sometimes	 be	 more	 costly	 as	 well”	
(Ziora,	 2012).	 Implementation	 can	 involve	 SC	 mapping,	 installing	 chips	 and	 software	 at	
strategic	points,	training	of	SC	staff,	among	other	tasks	that	require	expensive	resources.	
Results	and	implications	of	SeeWhy	
At	 the	 time	 SeeWhy	 was	 a	 relatively	 young	 company	 and	 were	 able	 to	 work	 closely	 with	
Guinness	to	determine	the	right	metrics	to	be	measured	and	to	implement	the	necessary	tools	
for	 measurement	 at	 each	 point	 in	 the	 SC,	 such	 as	 microchips	 and	 software	 installation.	
According	to	Reese	(2007)	after	switching	to	the	OTIF	on	arrival	metric	the	picture	no	longer	
looked	 as	 good	 for	 Guinness	 with	 customer	 service	 levels	 “barely	 breaking	 50	 percent”;	
clearly	 improvements	 were	 needed.	 Through	 implementing	 SeeWhy	 right	 across	 the	 SC,	
communication	and	data	improved,	leading	to	increased	effectiveness	of	operations.	Cullen
ME50320	International	Networks	for	Production,	Service	&	Logistics	 20.04.2016	
	
reported	that,	“the	metric	currently	hovers	around	80	percent.	We	could	push	it	up	further,	
but	if	we	did	that	we'd	have	an	increased	number	of	shipments	arriving	early"	(Reese,	2007),	
which	 would	 not	 be	 desirable.	 Improving	 operations	 by	 60	 percent	 is	 great	 news	 for	 any	
business	and	there	were	additional	benefits	to	implementing	SeeWhy.	The	information	and	
data	 made	 available	 enabled	 Guinness	 to	 see	 that	 one	 of	 the	 “most	 competitively	 priced	
shippers	is	producing	very	good	customer	service”	(Reese,	2007),	enabling	them	to	achieve	
greater	value	of	transportation	for	barrels.	Interestingly	Cullen	disclosed	that,	“in	the	past,	to	
be	honest,	we	would	have	probably	gone	for	our	most	expensive	carrier	in	the	belief	that	they	
offered	the	best	customer	service	because	we	simply	didn't	have	the	visibility	to	know	any	
better"	 (Reese,	 2007).	 Through	 having	 more	 accurate	 data	 that	 is	 updated	 in	 real-time	
Guinness	is	able	to	make	better-informed	decisions	about	shipments	that	ultimately	save	both	
them	and	their	customers’	time	and	money.	
Discussion	
Through	implementation	of	RTBI	Guinness	have	been	able	to	build	a	more	accurate	picture	of	
their	SC	and	those	international	networks	at	play.	Better	understanding	of	these	networks	can	
enable	 Guinness	 to	 improve	 performance	 within	 existing	 markets.	 However,	 Fabb	 (2007)	
showed	that	UK	sales	declined	13%	in	the	last	two	years	and	fell	nearly	30%	in	Ireland	since	
2001.	 This	 is	 echoed	 by	 Michael	 Patton	 Diageo	 Ireland’s	 corporate	 relations	 director	 who	
stated	that	"The	problem	is	they	are	consuming	less	Guinness	than	before"	(Harrison,	2007).	
This	shows	that	while	SC	management	is	important,	it	is	not	the	only	factor	that	influences	
customer	satisfaction	and	sales	of	Guinness,	which	was	the	motivation	for	the	SC	review.	If	the	
claims	 about	 RTBI	 are	 accurate	 then	 it	 would	 be	 reasonable	 to	 expect	 to	 see	 increased	
performance	of	sales	for	Guinness,	this	however,	does	not	seem	to	be	the	case	in	the	UK	and	
Ireland.	 It	 should	 be	 considered	 that	 the	 raise	 in	 awareness	 of	 the	 health	 risks	 of	 alcohol	
consumption	might	be	a	factor	contributing	to	weakened	sales.	Further,	the	UK	and	Ireland	
are	 considered	 home	 markets	 for	 Guinness,	 involving	 fewer	 international	 networks.	
Therefore,	the	benefits	of	RTBI	are	likely	to	have	reduced	improvement	on	performance	in	
these	markets.		
Conclusion	
With	over	250	years	heritage	at	Guinness	and	it’s	founding	brewery	at	St.	James’s	Gate	the	
firm	has	built	up	a	large	international	network	of	suppliers	and	distributors	that	help	feed	
customers	around	the	globe.	As	Guinness	has	made	a	presence	in	an	increasing	number	of	
countries,	serving	these	markets	has	required	improved	planning	and	coordination	at	every	
stage	 of	 the	 supply	 chain.	 Through	 enlisting	 SeeWhy	 to	 implement	 RTBI	 across	 the	 SC	
Guinness	 has	 been	 able	 to	 map	 and	 analyse	 these	 complex	 interactions	 in	 order	 to	 better	
understand	 the	 processes	 involved	 and	 customer	 satisfaction	 levels.	 This	 information	 has	
enabled	them	to	improve	operations	as	well	as	to	mitigate	negative	effects	when	disruptions	
do	occur.	The	implications	of	SeeWhy,	and	RTBI,	for	firms	with	an	international	network	that	
extend	 to	 foreign	 markets	 can	 create	 greater	 efficiency	 of	 operations	 and	 improved	
performance.	The	case	of	Guinness	has	shown	that	deeper	insight	into	the	SC	has	generated	
key	 decisions	 regarding	 shipping	 agents	 used,	 triggering	 a	 vast	 increase	 in	 performance	
overall.	While	it	is	acknowledged	that	there	is	still	room-for-improvement	within	the	logistical	
network	 it	 is	 clear	 that	 RTBI	 has	 led	 to	 strengthened	 operations	 that	 involve	 international	
networks	at	Guinness.
ME50320	International	Networks	for	Production,	Service	&	Logistics	 20.04.2016	
	
Reference	
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Cebotarean,	E.	2011.	Business	Intelligence.	Journal	of	Knowledge	Management,	Economics	
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Chung,	S.H,	Chan,	F	&	Ma,	H.L.	2013.	Minimising	earliness	and	tardiness	by	integrating	
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Cilt	world.	2007.	Obsessed	with	Guinness,	obsessed	with	quality.	CILT	World.	15(1),	pp.	8.	
	
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Griffiths,	M.	2004,	Guinness	Is	Guinness,	Cyan	Communications,	London.		
	
Guinnesscom.	2016.	Guinnesscom.	[Online].	[7	April	2016].	Available	from:	
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Harrison,	S.	2007.	Bbccouk.	[Online].	[8	April	2016].	Available	from:	
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Lee,	H.L,	Padmanabhan,	V	&	Whang,	S.	1997.	The	bullwhip	effect	in	supply	chains.	Sloan	
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ME50320	International	Networks	for	Production,	Service	&	Logistics	 20.04.2016	
	
	
Pacific	shipper.	2007.	Container	ship	arrival	delays	worsen.	Pacific	Shipper.	82(13),	pp.	16.	
	
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Reese,	A.	2007.	Guinness	Rolls	Out	the	Barrels.	Food	Logistics.	Jan/Feb(1),	pp.	18-21.	
	
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Tank,	D.	2015.	Enable	Better	and	Timelier	Decision-Making	Using	Real-Time	Business	
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Vernimmen,	B,	Dullaert,	W	&	Engelen,	S.	2007.	Schedule	Unreliability	in	Liner	Shipping:	
Origins	and	Consequences	for	the	Hinterland	Supply	Chain.	Maritime	Economics	&	
Logistics.	9(1),	pp.	193-213.	
	
Ziora,	L.	2012.	The	concept	of	Real-time	Business	Intelligence	Review	of	practical	
applications.	Informatyka	Ekonomiczna.	1(23),	pp.	67-75.

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